From 2e4e58dfe83d156a2ca4ee9aaec1190589ff2a9f Mon Sep 17 00:00:00 2001
From: connor-french <connor-french@users.noreply.github.com>
Date: Mon, 12 Aug 2024 16:53:55 +0000
Subject: [PATCH] deploy: 6da79a0bc2506c658bccf5ef0a623030ca046da3

---
 changelog.html                                |  622 +++++
 cli.html                                      |  566 +++++
 contributing.html                             |  641 +++++
 images/pdistincta.jpg                         |  Bin 0 -> 1227434 bytes
 index.html                                    | 1692 ++++++++++++++
 .../figure-html/draw-mutations-output-1.svg   |    1 +
 .../figure-html/draw-tree-output-1.svg        |    1 +
 .../figure-html/localities-output-1.png       |  Bin 0 -> 26227 bytes
 .../figure-html/plot-landscape-output-1.png   |  Bin 0 -> 92982 bytes
 .../figure-html/timeslices1-output-1.png      |  Bin 0 -> 47773 bytes
 overview.html                                 |  566 +++++
 reference/anc_to_deme_dict.html               |  825 +++++++
 reference/calc_migration_matrix.html          |  827 +++++++
 reference/calc_sumstats.html                  |  861 +++++++
 reference/coords_to_deme_dict.html            |  825 +++++++
 reference/coords_to_sample_dict.html          |  838 +++++++
 reference/create_raster.html                  |  837 +++++++
 reference/filter_gt.html                      |  855 +++++++
 reference/index.html                          |  877 +++++++
 reference/mtp_thresh_from_coords.html         |  846 +++++++
 reference/plot_landscape.html                 |  849 +++++++
 reference/plot_model.html                     |  857 +++++++
 reference/plot_timeseries.html                |  827 +++++++
 reference/raster_to_demes.html                |  857 +++++++
 reference/sim_ancestry.html                   |  845 +++++++
 reference/sim_mutations.html                  |  830 +++++++
 ...pDemography.add_ancestral_populations.html |  878 +++++++
 reference/spDemography.html                   |  978 ++++++++
 reference/spDemography.stepping_stone_2d.html |  841 +++++++
 reference/split_landscape_by_pop.html         |  852 +++++++
 search.json                                   | 1008 ++++++++
 site_libs/bootstrap/bootstrap-icons.css       | 2078 +++++++++++++++++
 site_libs/bootstrap/bootstrap-icons.woff      |  Bin 0 -> 176200 bytes
 site_libs/bootstrap/bootstrap.min.css         |   12 +
 site_libs/bootstrap/bootstrap.min.js          |    7 +
 site_libs/clipboard/clipboard.min.js          |    7 +
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 .../quarto-syntax-highlighting.css            |  205 ++
 site_libs/quarto-html/quarto.js               |  908 +++++++
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 .../figure-html/localities-output-1.png       |  Bin 0 -> 46470 bytes
 .../figure-html/plot-landscape-output-1.png   |  Bin 0 -> 260470 bytes
 .../figure-html/timeslices1-output-1.png      |  Bin 0 -> 73759 bytes
 transformation-functions.html                 |  576 +++++
 53 files changed, 28470 insertions(+)
 create mode 100644 changelog.html
 create mode 100644 cli.html
 create mode 100644 contributing.html
 create mode 100644 images/pdistincta.jpg
 create mode 100644 index.html
 create mode 100644 index_files/figure-html/draw-mutations-output-1.svg
 create mode 100644 index_files/figure-html/draw-tree-output-1.svg
 create mode 100644 index_files/figure-html/localities-output-1.png
 create mode 100644 index_files/figure-html/plot-landscape-output-1.png
 create mode 100644 index_files/figure-html/timeslices1-output-1.png
 create mode 100644 overview.html
 create mode 100644 reference/anc_to_deme_dict.html
 create mode 100644 reference/calc_migration_matrix.html
 create mode 100644 reference/calc_sumstats.html
 create mode 100644 reference/coords_to_deme_dict.html
 create mode 100644 reference/coords_to_sample_dict.html
 create mode 100644 reference/create_raster.html
 create mode 100644 reference/filter_gt.html
 create mode 100644 reference/index.html
 create mode 100644 reference/mtp_thresh_from_coords.html
 create mode 100644 reference/plot_landscape.html
 create mode 100644 reference/plot_model.html
 create mode 100644 reference/plot_timeseries.html
 create mode 100644 reference/raster_to_demes.html
 create mode 100644 reference/sim_ancestry.html
 create mode 100644 reference/sim_mutations.html
 create mode 100644 reference/spDemography.add_ancestral_populations.html
 create mode 100644 reference/spDemography.html
 create mode 100644 reference/spDemography.stepping_stone_2d.html
 create mode 100644 reference/split_landscape_by_pop.html
 create mode 100644 search.json
 create mode 100644 site_libs/bootstrap/bootstrap-icons.css
 create mode 100644 site_libs/bootstrap/bootstrap-icons.woff
 create mode 100644 site_libs/bootstrap/bootstrap.min.css
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 create mode 100644 site_libs/quarto-html/tippy.css
 create mode 100644 site_libs/quarto-html/tippy.umd.min.js
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 create mode 100644 site_libs/quarto-search/autocomplete.umd.js
 create mode 100644 site_libs/quarto-search/fuse.min.js
 create mode 100644 site_libs/quarto-search/quarto-search.js
 create mode 100644 spaceprime-for-r-users.html
 create mode 100644 spaceprime-for-r-users_files/figure-html/draw-mutations-output-1.svg
 create mode 100644 spaceprime-for-r-users_files/figure-html/draw-tree-output-1.svg
 create mode 100644 spaceprime-for-r-users_files/figure-html/localities-output-1.png
 create mode 100644 spaceprime-for-r-users_files/figure-html/plot-landscape-output-1.png
 create mode 100644 spaceprime-for-r-users_files/figure-html/timeslices1-output-1.png
 create mode 100644 transformation-functions.html

diff --git a/changelog.html b/changelog.html
new file mode 100644
index 0000000..c49412a
--- /dev/null
+++ b/changelog.html
@@ -0,0 +1,622 @@
+<!DOCTYPE html>
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+<title>changelog – spaceprime</title>
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+    <span class="navbar-title">spaceprime</span>
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+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
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+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="./reference/index.html"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
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+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="./transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="./spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="./cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
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+            <div class="quarto-navbar-tools">
+</div>
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+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+<!-- margin-sidebar -->
+    
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="changelog" class="level3">
+<h3 class="anchored" data-anchor-id="changelog">Changelog</h3>
+<p>All notable changes to this project will be documented in this file. Dates are displayed in UTC.</p>
+<p>Generated by <a href="https://github.com/CookPete/auto-changelog"><code>auto-changelog</code></a>.</p>
+<section id="v0.0.3" class="level4">
+<h4 class="anchored" data-anchor-id="v0.0.3"><a href="https://github.com/connor-french/spaceprime/compare/v0.0.2...v0.0.3">v0.0.3</a></h4>
+<blockquote class="blockquote">
+<p>22 April 2024</p>
+</blockquote>
+<ul>
+<li>add analysis module black fix <a href="https://github.com/connor-french/spaceprime/commit/28ce7425ba04a5ba495192f85c561e2f37bd21f1"><code>28ce742</code></a></li>
+<li>finish first round of utilities functions- black fix <a href="https://github.com/connor-french/spaceprime/commit/1b485270a595d0fa47629978ff69863e97d0fbf0"><code>1b48527</code></a></li>
+<li>add demography module and associated package updates- black fixes <a href="https://github.com/connor-french/spaceprime/commit/b4e292ea1716c7b1a22bdb09b2d8f3b207292826"><code>b4e292e</code></a></li>
+<li>black fix <a href="https://github.com/connor-french/spaceprime/commit/c9d8981c441eb38711b0f8af66b66ff95f7d9a67"><code>c9d8981</code></a></li>
+<li>finish up utilities <a href="https://github.com/connor-french/spaceprime/commit/3a2daea878995e4e012993fc73c88a2d872487cb"><code>3a2daea</code></a></li>
+<li>update documentation- black fix <a href="https://github.com/connor-french/spaceprime/commit/8f759de3fbd16aa01eb77fb503440c97c587fad0"><code>8f759de</code></a></li>
+<li>reformat function based on black <a href="https://github.com/connor-french/spaceprime/commit/35b1d093a1d2770ca166a7a06f9867c7395309af"><code>35b1d09</code></a></li>
+<li>fix some typing around integers- black fix <a href="https://github.com/connor-french/spaceprime/commit/7fbec2d9a3f491ffc4b73db556e395374c5fa3ac"><code>7fbec2d</code></a></li>
+<li>add linting pre-commit hook <a href="https://github.com/connor-french/spaceprime/commit/40adedf1f8a2879604889880ed7d5339eb0ad330"><code>40adedf</code></a></li>
+<li>more docs config <a href="https://github.com/connor-french/spaceprime/commit/83d26aac7c377c7bc4db5bd5ab6da08664d78c57"><code>83d26aa</code></a></li>
+<li>clean up some files <a href="https://github.com/connor-french/spaceprime/commit/3a8f3725e58709b4ca6872eb2ed317bfe73b4a92"><code>3a8f372</code></a></li>
+<li>debug demography functions black fix <a href="https://github.com/connor-french/spaceprime/commit/c5753128dfd5168fc201648912ec972138e0c120"><code>c575312</code></a></li>
+<li>fix mkdocs spacing <a href="https://github.com/connor-french/spaceprime/commit/ba3973f04661ca41311369d6641fe29de6a73432"><code>ba3973f</code></a></li>
+<li>remove common module <a href="https://github.com/connor-french/spaceprime/commit/c447ef5faae1ae3e3584d82f2e055be4d5ae295c"><code>c447ef5</code></a></li>
+<li>clean up docs <a href="https://github.com/connor-french/spaceprime/commit/182cfbc3570bdd49b3669d6ef0073768a0bc93bc"><code>182cfbc</code></a></li>
+<li>add transformation docs <a href="https://github.com/connor-french/spaceprime/commit/9c0dd292581e658c4c3cd3ca71f196358128b4ed"><code>9c0dd29</code></a></li>
+<li>fix <a href="https://github.com/connor-french/spaceprime/commit/4ad0fd9e4ee41acae3d7cadbdbc49bd6de5d31f1"><code>4ad0fd9</code></a></li>
+<li>Bump version: 0.0.2 → 0.0.3 <a href="https://github.com/connor-french/spaceprime/commit/70491b384d92f05962bf23069b57166011923418"><code>70491b3</code></a></li>
+<li>black fix <a href="https://github.com/connor-french/spaceprime/commit/f2384e1cf4d4eaa6d5d41df8850ded5c80bb52c6"><code>f2384e1</code></a></li>
+<li>fix tests and forgot to add requirements <a href="https://github.com/connor-french/spaceprime/commit/7ba1ef39c323ca5381f864188357218c394fb3a7"><code>7ba1ef3</code></a></li>
+<li>figuring out docs <a href="https://github.com/connor-french/spaceprime/commit/753a6fe75078f76c837605bbeb96b405c38e482f"><code>753a6fe</code></a></li>
+<li>fix index and move stuff around <a href="https://github.com/connor-french/spaceprime/commit/73fb2acdd29fef12caf0ffa14d38ab05738f921b"><code>73fb2ac</code></a></li>
+<li>fix typo <a href="https://github.com/connor-french/spaceprime/commit/fea66ddf233b2774a71ead698c4822cc634b7396"><code>fea66dd</code></a></li>
+<li>add pytest to ubuntu.yml <a href="https://github.com/connor-french/spaceprime/commit/9520751f93067bfb8115f053d59d55fecfc52a4a"><code>9520751</code></a></li>
+</ul>
+</section>
+<section id="v0.0.2" class="level4">
+<h4 class="anchored" data-anchor-id="v0.0.2"><a href="https://github.com/connor-french/spaceprime/compare/v0.0.1...v0.0.2">v0.0.2</a></h4>
+<blockquote class="blockquote">
+<p>4 April 2024</p>
+</blockquote>
+<ul>
+<li>add package stuff <a href="https://github.com/connor-french/spaceprime/commit/8de88438d371db3724e8853f47682635ed52b7f4"><code>8de8843</code></a></li>
+<li>Bump version: 0.0.1 → 0.0.2 <a href="https://github.com/connor-french/spaceprime/commit/43a7eb4b2552552ba804327ae9fb738fb3e06290"><code>43a7eb4</code></a></li>
+</ul>
+</section>
+<section id="v0.0.1" class="level4">
+<h4 class="anchored" data-anchor-id="v0.0.1">v0.0.1</h4>
+<blockquote class="blockquote">
+<p>4 April 2024</p>
+</blockquote>
+<ul>
+<li>first commit <a href="https://github.com/connor-french/spaceprime/commit/e3224827c30df0e60b1d75a176befd84b5e7b5fd"><code>e322482</code></a></li>
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+
+
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+    for (var i=0; i<links.length; i++) {
+      const link = links[i];
+      if (!isInternal(link.href)) {
+        // undo the damage that might have been done by quarto-nav.js in the case of
+        // links that we want to consider external
+        if (link.dataset.originalHref !== undefined) {
+          link.href = link.dataset.originalHref;
+        }
+      }
+    }
+  function tippyHover(el, contentFn, onTriggerFn, onUntriggerFn) {
+    const config = {
+      allowHTML: true,
+      maxWidth: 500,
+      delay: 100,
+      arrow: false,
+      appendTo: function(el) {
+          return el.parentElement;
+      },
+      interactive: true,
+      interactiveBorder: 10,
+      theme: 'quarto',
+      placement: 'bottom-start',
+    };
+    if (contentFn) {
+      config.content = contentFn;
+    }
+    if (onTriggerFn) {
+      config.onTrigger = onTriggerFn;
+    }
+    if (onUntriggerFn) {
+      config.onUntrigger = onUntriggerFn;
+    }
+    window.tippy(el, config); 
+  }
+  const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
+  for (var i=0; i<noterefs.length; i++) {
+    const ref = noterefs[i];
+    tippyHover(ref, function() {
+      // use id or data attribute instead here
+      let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
+      try { href = new URL(href).hash; } catch {}
+      const id = href.replace(/^#\/?/, "");
+      const note = window.document.getElementById(id);
+      if (note) {
+        return note.innerHTML;
+      } else {
+        return "";
+      }
+    });
+  }
+  const xrefs = window.document.querySelectorAll('a.quarto-xref');
+  const processXRef = (id, note) => {
+    // Strip column container classes
+    const stripColumnClz = (el) => {
+      el.classList.remove("page-full", "page-columns");
+      if (el.children) {
+        for (const child of el.children) {
+          stripColumnClz(child);
+        }
+      }
+    }
+    stripColumnClz(note)
+    if (id === null || id.startsWith('sec-')) {
+      // Special case sections, only their first couple elements
+      const container = document.createElement("div");
+      if (note.children && note.children.length > 2) {
+        container.appendChild(note.children[0].cloneNode(true));
+        for (let i = 1; i < note.children.length; i++) {
+          const child = note.children[i];
+          if (child.tagName === "P" && child.innerText === "") {
+            continue;
+          } else {
+            container.appendChild(child.cloneNode(true));
+            break;
+          }
+        }
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(container);
+        }
+        return container.innerHTML
+      } else {
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(note);
+        }
+        return note.innerHTML;
+      }
+    } else {
+      // Remove any anchor links if they are present
+      const anchorLink = note.querySelector('a.anchorjs-link');
+      if (anchorLink) {
+        anchorLink.remove();
+      }
+      if (window.Quarto?.typesetMath) {
+        window.Quarto.typesetMath(note);
+      }
+      // TODO in 1.5, we should make sure this works without a callout special case
+      if (note.classList.contains("callout")) {
+        return note.outerHTML;
+      } else {
+        return note.innerHTML;
+      }
+    }
+  }
+  for (var i=0; i<xrefs.length; i++) {
+    const xref = xrefs[i];
+    tippyHover(xref, undefined, function(instance) {
+      instance.disable();
+      let url = xref.getAttribute('href');
+      let hash = undefined; 
+      if (url.startsWith('#')) {
+        hash = url;
+      } else {
+        try { hash = new URL(url).hash; } catch {}
+      }
+      if (hash) {
+        const id = hash.replace(/^#\/?/, "");
+        const note = window.document.getElementById(id);
+        if (note !== null) {
+          try {
+            const html = processXRef(id, note.cloneNode(true));
+            instance.setContent(html);
+          } finally {
+            instance.enable();
+            instance.show();
+          }
+        } else {
+          // See if we can fetch this
+          fetch(url.split('#')[0])
+          .then(res => res.text())
+          .then(html => {
+            const parser = new DOMParser();
+            const htmlDoc = parser.parseFromString(html, "text/html");
+            const note = htmlDoc.getElementById(id);
+            if (note !== null) {
+              const html = processXRef(id, note);
+              instance.setContent(html);
+            } 
+          }).finally(() => {
+            instance.enable();
+            instance.show();
+          });
+        }
+      } else {
+        // See if we can fetch a full url (with no hash to target)
+        // This is a special case and we should probably do some content thinning / targeting
+        fetch(url)
+        .then(res => res.text())
+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
+          if (note !== null) {
+            // This should only happen for chapter cross references
+            // (since there is no id in the URL)
+            // remove the first header
+            if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
+              note.children[0].remove();
+            }
+            const html = processXRef(null, note);
+            instance.setContent(html);
+          } 
+        }).finally(() => {
+          instance.enable();
+          instance.show();
+        });
+      }
+    }, function(instance) {
+    });
+  }
+      let selectedAnnoteEl;
+      const selectorForAnnotation = ( cell, annotation) => {
+        let cellAttr = 'data-code-cell="' + cell + '"';
+        let lineAttr = 'data-code-annotation="' +  annotation + '"';
+        const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
+        return selector;
+      }
+      const selectCodeLines = (annoteEl) => {
+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
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+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            div.style.left = 0;
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/cli.html b/cli.html
new file mode 100644
index 0000000..5f94d4f
--- /dev/null
+++ b/cli.html
@@ -0,0 +1,566 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>cli – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="site_libs/clipboard/clipboard.min.js"></script>
+<script src="site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="site_libs/quarto-search/fuse.min.js"></script>
+<script src="site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="./">
+<script src="site_libs/quarto-html/quarto.js"></script>
+<script src="site_libs/quarto-html/popper.min.js"></script>
+<script src="site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="site_libs/quarto-html/anchor.min.js"></script>
+<link href="site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 50,
+  "keyboard-shortcut": [
+    "f",
+    "/",
+    "s"
+  ],
+  "show-item-context": false,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+
+
+</head>
+
+<body class="nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="./index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="./reference/index.html"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="./transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="./spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link active" href="./cli.html" aria-current="page"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+<!-- margin-sidebar -->
+    
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+
+
+
+</main> <!-- /main -->
+<script id="quarto-html-after-body" type="application/javascript">
+window.document.addEventListener("DOMContentLoaded", function (event) {
+  const toggleBodyColorMode = (bsSheetEl) => {
+    const mode = bsSheetEl.getAttribute("data-mode");
+    const bodyEl = window.document.querySelector("body");
+    if (mode === "dark") {
+      bodyEl.classList.add("quarto-dark");
+      bodyEl.classList.remove("quarto-light");
+    } else {
+      bodyEl.classList.add("quarto-light");
+      bodyEl.classList.remove("quarto-dark");
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+  }
+  const toggleBodyColorPrimary = () => {
+    const bsSheetEl = window.document.querySelector("link#quarto-bootstrap");
+    if (bsSheetEl) {
+      toggleBodyColorMode(bsSheetEl);
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+  }
+  toggleBodyColorPrimary();  
+  const icon = "";
+  const anchorJS = new window.AnchorJS();
+  anchorJS.options = {
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+  anchorJS.add('.anchored');
+  const isCodeAnnotation = (el) => {
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+        return true;
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+    return false;
+  }
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+    // button target
+    const button = e.trigger;
+    // don't keep focus
+    button.blur();
+    // flash "checked"
+    button.classList.add('code-copy-button-checked');
+    var currentTitle = button.getAttribute("title");
+    button.setAttribute("title", "Copied!");
+    let tooltip;
+    if (window.bootstrap) {
+      button.setAttribute("data-bs-toggle", "tooltip");
+      button.setAttribute("data-bs-placement", "left");
+      button.setAttribute("data-bs-title", "Copied!");
+      tooltip = new bootstrap.Tooltip(button, 
+        { trigger: "manual", 
+          customClass: "code-copy-button-tooltip",
+          offset: [0, -8]});
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+    setTimeout(function() {
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+        tooltip.hide();
+        button.removeAttribute("data-bs-title");
+        button.removeAttribute("data-bs-toggle");
+        button.removeAttribute("data-bs-placement");
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+      button.setAttribute("title", currentTitle);
+      button.classList.remove('code-copy-button-checked');
+    }, 1000);
+    // clear code selection
+    e.clearSelection();
+  }
+  const getTextToCopy = function(trigger) {
+      const codeEl = trigger.previousElementSibling.cloneNode(true);
+      for (const childEl of codeEl.children) {
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+          childEl.remove();
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+      return codeEl.innerText;
+  }
+  const clipboard = new window.ClipboardJS('.code-copy-button:not([data-in-quarto-modal])', {
+    text: getTextToCopy
+  });
+  clipboard.on('success', onCopySuccess);
+  if (window.document.getElementById('quarto-embedded-source-code-modal')) {
+    // For code content inside modals, clipBoardJS needs to be initialized with a container option
+    // TODO: Check when it could be a function (https://github.com/zenorocha/clipboard.js/issues/860)
+    const clipboardModal = new window.ClipboardJS('.code-copy-button[data-in-quarto-modal]', {
+      text: getTextToCopy,
+      container: window.document.getElementById('quarto-embedded-source-code-modal')
+    });
+    clipboardModal.on('success', onCopySuccess);
+  }
+    var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
+    var mailtoRegex = new RegExp(/^mailto:/);
+      var filterRegex = new RegExp('/' + window.location.host + '/');
+    var isInternal = (href) => {
+        return filterRegex.test(href) || localhostRegex.test(href) || mailtoRegex.test(href);
+    }
+    // Inspect non-navigation links and adorn them if external
+ 	var links = window.document.querySelectorAll('a[href]:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external):not([aria-hidden]):not(.dropdown-item):not(.quarto-navigation-tool):not(.about-link)');
+    for (var i=0; i<links.length; i++) {
+      const link = links[i];
+      if (!isInternal(link.href)) {
+        // undo the damage that might have been done by quarto-nav.js in the case of
+        // links that we want to consider external
+        if (link.dataset.originalHref !== undefined) {
+          link.href = link.dataset.originalHref;
+        }
+      }
+    }
+  function tippyHover(el, contentFn, onTriggerFn, onUntriggerFn) {
+    const config = {
+      allowHTML: true,
+      maxWidth: 500,
+      delay: 100,
+      arrow: false,
+      appendTo: function(el) {
+          return el.parentElement;
+      },
+      interactive: true,
+      interactiveBorder: 10,
+      theme: 'quarto',
+      placement: 'bottom-start',
+    };
+    if (contentFn) {
+      config.content = contentFn;
+    }
+    if (onTriggerFn) {
+      config.onTrigger = onTriggerFn;
+    }
+    if (onUntriggerFn) {
+      config.onUntrigger = onUntriggerFn;
+    }
+    window.tippy(el, config); 
+  }
+  const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
+  for (var i=0; i<noterefs.length; i++) {
+    const ref = noterefs[i];
+    tippyHover(ref, function() {
+      // use id or data attribute instead here
+      let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
+      try { href = new URL(href).hash; } catch {}
+      const id = href.replace(/^#\/?/, "");
+      const note = window.document.getElementById(id);
+      if (note) {
+        return note.innerHTML;
+      } else {
+        return "";
+      }
+    });
+  }
+  const xrefs = window.document.querySelectorAll('a.quarto-xref');
+  const processXRef = (id, note) => {
+    // Strip column container classes
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+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
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+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/contributing.html b/contributing.html
new file mode 100644
index 0000000..703f8aa
--- /dev/null
+++ b/contributing.html
@@ -0,0 +1,641 @@
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+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>contributing – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
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+</style>
+
+
+<script src="site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="site_libs/clipboard/clipboard.min.js"></script>
+<script src="site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="site_libs/quarto-search/fuse.min.js"></script>
+<script src="site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="./">
+<script src="site_libs/quarto-html/quarto.js"></script>
+<script src="site_libs/quarto-html/popper.min.js"></script>
+<script src="site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="site_libs/quarto-html/anchor.min.js"></script>
+<link href="site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
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+</head>
+
+<body class="nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="./index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="./reference/index.html"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="./transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="./spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="./cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+<!-- margin-sidebar -->
+    
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="contributing" class="level1">
+<h1>Contributing</h1>
+<p>Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.</p>
+<p>You can contribute in many ways:</p>
+<section id="types-of-contributions" class="level2">
+<h2 class="anchored" data-anchor-id="types-of-contributions">Types of Contributions</h2>
+<section id="report-bugs" class="level3">
+<h3 class="anchored" data-anchor-id="report-bugs">Report Bugs</h3>
+<p>Report bugs at <a href="https://github.com/connor-french/spaceprime/issues" class="uri">https://github.com/connor-french/spaceprime/issues</a>.</p>
+<p>If you are reporting a bug, please include:</p>
+<ul>
+<li>Your operating system name and version.</li>
+<li>Any details about your local setup that might be helpful in troubleshooting.</li>
+<li>Detailed steps to reproduce the bug.</li>
+</ul>
+</section>
+<section id="fix-bugs" class="level3">
+<h3 class="anchored" data-anchor-id="fix-bugs">Fix Bugs</h3>
+<p>Look through the GitHub issues for bugs. Anything tagged with <code>bug</code> and <code>help wanted</code> is open to whoever wants to implement it.</p>
+</section>
+<section id="implement-features" class="level3">
+<h3 class="anchored" data-anchor-id="implement-features">Implement Features</h3>
+<p>Look through the GitHub issues for features. Anything tagged with <code>enhancement</code> and <code>help wanted</code> is open to whoever wants to implement it.</p>
+</section>
+<section id="write-documentation" class="level3">
+<h3 class="anchored" data-anchor-id="write-documentation">Write Documentation</h3>
+<p>spaceprime could always use more documentation, whether as part of the official spaceprime docs, in docstrings, or even on the web in blog posts, articles, and such.</p>
+</section>
+<section id="submit-feedback" class="level3">
+<h3 class="anchored" data-anchor-id="submit-feedback">Submit Feedback</h3>
+<p>The best way to send feedback is to file an issue at <a href="https://github.com/connor-french/spaceprime/issues" class="uri">https://github.com/connor-french/spaceprime/issues</a>.</p>
+<p>If you are proposing a feature:</p>
+<ul>
+<li>Explain in detail how it would work.</li>
+<li>Keep the scope as narrow as possible, to make it easier to implement.</li>
+<li>Remember that this is a volunteer-driven project, and that contributions are welcome :)</li>
+</ul>
+</section>
+</section>
+<section id="get-started" class="level2">
+<h2 class="anchored" data-anchor-id="get-started">Get Started!</h2>
+<p>Ready to contribute? Here’s how to set up spaceprime for local development.</p>
+<ol type="1">
+<li><p>Fork the spaceprime repo on GitHub.</p></li>
+<li><p>Clone your fork locally:</p>
+<pre class="shell"><code>$ git clone git@github.com:your_name_here/spaceprime.git</code></pre></li>
+<li><p>Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:</p>
+<pre class="shell"><code>$ mkvirtualenv spaceprime
+$ cd spaceprime/
+$ python setup.py develop</code></pre></li>
+<li><p>Create a branch for local development:</p>
+<pre class="shell"><code>$ git checkout -b name-of-your-bugfix-or-feature</code></pre>
+<p>Now you can make your changes locally.</p></li>
+<li><p>When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:</p>
+<pre class="shell"><code>$ flake8 spaceprime tests
+$ python setup.py test or pytest
+$ tox</code></pre>
+<p>To get flake8 and tox, just pip install them into your virtualenv.</p></li>
+<li><p>Commit your changes and push your branch to GitHub:</p>
+<pre class="shell"><code>$ git add .
+$ git commit -m "Your detailed description of your changes."
+$ git push origin name-of-your-bugfix-or-feature</code></pre></li>
+<li><p>Submit a pull request through the GitHub website.</p></li>
+</ol>
+</section>
+<section id="pull-request-guidelines" class="level2">
+<h2 class="anchored" data-anchor-id="pull-request-guidelines">Pull Request Guidelines</h2>
+<p>Before you submit a pull request, check that it meets these guidelines:</p>
+<ol type="1">
+<li>The pull request should include tests.</li>
+<li>If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.</li>
+<li>The pull request should work for Python 3.8 and later, and for PyPy. Check <a href="https://github.com/connor-french/spaceprime/pull_requests" class="uri">https://github.com/connor-french/spaceprime/pull_requests</a> and make sure that the tests pass for all supported Python versions.</li>
+</ol>
+
+
+</section>
+</section>
+
+</main> <!-- /main -->
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+    var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
+    var mailtoRegex = new RegExp(/^mailto:/);
+      var filterRegex = new RegExp('/' + window.location.host + '/');
+    var isInternal = (href) => {
+        return filterRegex.test(href) || localhostRegex.test(href) || mailtoRegex.test(href);
+    }
+    // Inspect non-navigation links and adorn them if external
+ 	var links = window.document.querySelectorAll('a[href]:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external):not([aria-hidden]):not(.dropdown-item):not(.quarto-navigation-tool):not(.about-link)');
+    for (var i=0; i<links.length; i++) {
+      const link = links[i];
+      if (!isInternal(link.href)) {
+        // undo the damage that might have been done by quarto-nav.js in the case of
+        // links that we want to consider external
+        if (link.dataset.originalHref !== undefined) {
+          link.href = link.dataset.originalHref;
+        }
+      }
+    }
+  function tippyHover(el, contentFn, onTriggerFn, onUntriggerFn) {
+    const config = {
+      allowHTML: true,
+      maxWidth: 500,
+      delay: 100,
+      arrow: false,
+      appendTo: function(el) {
+          return el.parentElement;
+      },
+      interactive: true,
+      interactiveBorder: 10,
+      theme: 'quarto',
+      placement: 'bottom-start',
+    };
+    if (contentFn) {
+      config.content = contentFn;
+    }
+    if (onTriggerFn) {
+      config.onTrigger = onTriggerFn;
+    }
+    if (onUntriggerFn) {
+      config.onUntrigger = onUntriggerFn;
+    }
+    window.tippy(el, config); 
+  }
+  const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
+  for (var i=0; i<noterefs.length; i++) {
+    const ref = noterefs[i];
+    tippyHover(ref, function() {
+      // use id or data attribute instead here
+      let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
+      try { href = new URL(href).hash; } catch {}
+      const id = href.replace(/^#\/?/, "");
+      const note = window.document.getElementById(id);
+      if (note) {
+        return note.innerHTML;
+      } else {
+        return "";
+      }
+    });
+  }
+  const xrefs = window.document.querySelectorAll('a.quarto-xref');
+  const processXRef = (id, note) => {
+    // Strip column container classes
+    const stripColumnClz = (el) => {
+      el.classList.remove("page-full", "page-columns");
+      if (el.children) {
+        for (const child of el.children) {
+          stripColumnClz(child);
+        }
+      }
+    }
+    stripColumnClz(note)
+    if (id === null || id.startsWith('sec-')) {
+      // Special case sections, only their first couple elements
+      const container = document.createElement("div");
+      if (note.children && note.children.length > 2) {
+        container.appendChild(note.children[0].cloneNode(true));
+        for (let i = 1; i < note.children.length; i++) {
+          const child = note.children[i];
+          if (child.tagName === "P" && child.innerText === "") {
+            continue;
+          } else {
+            container.appendChild(child.cloneNode(true));
+            break;
+          }
+        }
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(container);
+        }
+        return container.innerHTML
+      } else {
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(note);
+        }
+        return note.innerHTML;
+      }
+    } else {
+      // Remove any anchor links if they are present
+      const anchorLink = note.querySelector('a.anchorjs-link');
+      if (anchorLink) {
+        anchorLink.remove();
+      }
+      if (window.Quarto?.typesetMath) {
+        window.Quarto.typesetMath(note);
+      }
+      // TODO in 1.5, we should make sure this works without a callout special case
+      if (note.classList.contains("callout")) {
+        return note.outerHTML;
+      } else {
+        return note.innerHTML;
+      }
+    }
+  }
+  for (var i=0; i<xrefs.length; i++) {
+    const xref = xrefs[i];
+    tippyHover(xref, undefined, function(instance) {
+      instance.disable();
+      let url = xref.getAttribute('href');
+      let hash = undefined; 
+      if (url.startsWith('#')) {
+        hash = url;
+      } else {
+        try { hash = new URL(url).hash; } catch {}
+      }
+      if (hash) {
+        const id = hash.replace(/^#\/?/, "");
+        const note = window.document.getElementById(id);
+        if (note !== null) {
+          try {
+            const html = processXRef(id, note.cloneNode(true));
+            instance.setContent(html);
+          } finally {
+            instance.enable();
+            instance.show();
+          }
+        } else {
+          // See if we can fetch this
+          fetch(url.split('#')[0])
+          .then(res => res.text())
+          .then(html => {
+            const parser = new DOMParser();
+            const htmlDoc = parser.parseFromString(html, "text/html");
+            const note = htmlDoc.getElementById(id);
+            if (note !== null) {
+              const html = processXRef(id, note);
+              instance.setContent(html);
+            } 
+          }).finally(() => {
+            instance.enable();
+            instance.show();
+          });
+        }
+      } else {
+        // See if we can fetch a full url (with no hash to target)
+        // This is a special case and we should probably do some content thinning / targeting
+        fetch(url)
+        .then(res => res.text())
+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
+          if (note !== null) {
+            // This should only happen for chapter cross references
+            // (since there is no id in the URL)
+            // remove the first header
+            if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
+              note.children[0].remove();
+            }
+            const html = processXRef(null, note);
+            instance.setContent(html);
+          } 
+        }).finally(() => {
+          instance.enable();
+          instance.show();
+        });
+      }
+    }, function(instance) {
+    });
+  }
+      let selectedAnnoteEl;
+      const selectorForAnnotation = ( cell, annotation) => {
+        let cellAttr = 'data-code-cell="' + cell + '"';
+        let lineAttr = 'data-code-annotation="' +  annotation + '"';
+        const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
+        return selector;
+      }
+      const selectCodeLines = (annoteEl) => {
+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
+            const el = window.document.getElementById(lineIds[0]);
+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            div.style.left = 0;
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
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diff --git a/index.html b/index.html
new file mode 100644
index 0000000..04fdd48
--- /dev/null
+++ b/index.html
@@ -0,0 +1,1692 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>spaceprime – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
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+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
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+pre > code.sourceCode > span { line-height: 1.25; }
+pre > code.sourceCode > span:empty { height: 1.2em; }
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+code.sourceCode > span { color: inherit; text-decoration: inherit; }
+div.sourceCode { margin: 1em 0; }
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+@media screen {
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+}
+@media print {
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+pre > code.sourceCode > span { display: inline-block; text-indent: -5em; padding-left: 5em; }
+}
+pre.numberSource code
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+  <li><a href="#overview" id="toc-overview" class="nav-link active" data-scroll-target="#overview"><em>Overview</em></a></li>
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+  <li><a href="#installation" id="toc-installation" class="nav-link" data-scroll-target="#installation">Installation</a>
+  <ul class="collapse">
+  <li><a href="#stable-release" id="toc-stable-release" class="nav-link" data-scroll-target="#stable-release">Stable release</a></li>
+  <li><a href="#from-source" id="toc-from-source" class="nav-link" data-scroll-target="#from-source">From source</a></li>
+  <li><a href="#extras" id="toc-extras" class="nav-link" data-scroll-target="#extras">Extras</a></li>
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+  <li><a href="#usage" id="toc-usage" class="nav-link" data-scroll-target="#usage">Usage</a></li>
+  <li><a href="#quickstart" id="toc-quickstart" class="nav-link" data-scroll-target="#quickstart">Quickstart</a>
+  <ul class="collapse">
+  <li><a href="#download-data" id="toc-download-data" class="nav-link" data-scroll-target="#download-data">1. Download data</a></li>
+  <li><a href="#read-in-packages-and-data" id="toc-read-in-packages-and-data" class="nav-link" data-scroll-target="#read-in-packages-and-data">2. Read in packages and data</a></li>
+  <li><a href="#set-up-the-demographic-model" id="toc-set-up-the-demographic-model" class="nav-link" data-scroll-target="#set-up-the-demographic-model">3. Set up the demographic model</a></li>
+  <li><a href="#inspect-your-model" id="toc-inspect-your-model" class="nav-link" data-scroll-target="#inspect-your-model">4. Inspect your model</a></li>
+  <li><a href="#simulate-genetic-data" id="toc-simulate-genetic-data" class="nav-link" data-scroll-target="#simulate-genetic-data">5. Simulate genetic data</a></li>
+  </ul></li>
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+<h1 class="title"><em>spaceprime</em></h1>
+</div>
+
+
+
+<div class="quarto-title-meta">
+
+    
+  
+    
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+
+<p><a href="https://pypi.python.org/pypi/spaceprime"><img src="https://img.shields.io/pypi/v/spaceprime.svg" class="img-fluid"></a></p>
+<p><strong>A python package to facilitate spatially explicit coalescent modeling in <em>msprime</em></strong></p>
+<ul>
+<li>Free software: MIT License</li>
+<li>Documentation: <a href="https://connor-french.github.io/spaceprime" class="uri">https://connor-french.github.io/spaceprime</a></li>
+</ul>
+<section id="overview" class="level2">
+<h2 class="anchored" data-anchor-id="overview"><em>Overview</em></h2>
+<p><em>spaceprime</em> is a Python package that facilitates the creation and analysis of spatially gridded coalescent models in the <a href="https://tskit.dev/msprime/docs/stable/intro.html#">msprime</a> library. The package is designed to make it easier for practitioners to <strong>convert spatial maps of habitat suitability into extensible two-dimensional stepping-stone models of gene flow</strong>, where each pixel of the map represents a deme and demes are able to migrate with their neighbors. Demes and migration rates are able to change over time according to habitat suitability model projections to different time periods. These demographic parameters are then used to simulate genetic data under a coalescent model with <a href="https://tskit.dev/msprime/docs/stable/intro.html#">msprime</a> as the simulator, which can be used to infer the demographic history of the population. The package is designed to be <strong>user-friendly and intuitive</strong>, allowing users to easily simulate and analyze spatially explicit genetic data.</p>
+<div class="callout callout-style-default callout-note callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Note for R users
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p><em>spaceprime</em> is implemented in Python, yet many interested users may come from an R background. I have a <a href="./spaceprime-for-r-users.html"><em>spaceprime</em> for R users</a> vignette that provides a brief introduction to the Python concepts necessary to use <em>spaceprime</em> through a practical walk-through of an example analysis. If you still want to use R, it is possible to use Python code in R using the <em>reticulate</em> package. For more information on how to use Python code in R, see the <a href="https://rstudio.github.io/reticulate/">reticulate documentation</a>.</p>
+</div>
+</div>
+</section>
+<section id="main-features" class="level2">
+<h2 class="anchored" data-anchor-id="main-features">Main features</h2>
+<p><em>spaceprime</em> includes a number of features:</p>
+<ul>
+<li><strong>Convert habitat suitability values into demographic parameters</strong>, including deme sizes, migration rates, and their change through time using <strong>very little code</strong>. Code complexity does not increase with model complexity, allowing users to focus on the biological questions they are interested in.<br>
+</li>
+<li>Simulate spatially explicit genetic data under a coalescent model with <em>msprime</em>. The modeling approach is <strong>fully coalescent</strong> with no forward-time component, allowing for <strong>computationally efficient simulations</strong> of large spatially explicit models.<br>
+</li>
+<li>Visualize demographic models to facilitate model interpretation and model checking.</li>
+<li>Compute genetic summary statistics for simulated and empirical data to facilitate comparison with empirical data.<br>
+</li>
+<li>Extensibility: <em>spaceprime</em> is designed to be interoperable with <em>msprime</em>, where users can setup a model with <em>spaceprime</em>, then customize it using the full range of <em>msprime</em> functionality.</li>
+</ul>
+</section>
+<section id="installation" class="level2">
+<h2 class="anchored" data-anchor-id="installation">Installation</h2>
+<section id="stable-release" class="level3">
+<h3 class="anchored" data-anchor-id="stable-release">Stable release</h3>
+<p><em>spaceprime</em> can be installed using <code>pip</code> or <code>conda</code>. Due to the package’s reliance on <em>msprime</em>, the <code>pip</code> installation is only available on unix-based systems (MacOS, Linux). Windows users should install <em>spaceprime</em> using <code>conda</code>.</p>
+<p>To install <em>spaceprime</em> using <code>pip</code>, run the following command in your terminal:</p>
+<pre class="{bash}"><code>pip install spaceprime</code></pre>
+<p>To install <em>spaceprime</em> using <code>conda</code>, run the following command in your terminal:</p>
+<pre class="{bash}"><code>conda install -c conda-forge spaceprime</code></pre>
+<p>The <code>mamba</code> package manager can also be used to install <em>spaceprime</em> using <code>conda</code>. <code>mamba</code> tends to be much faster than conda. To install <em>spaceprime</em> using <code>mamba</code>, install <code>mamba</code>, then run the following command in your terminal:</p>
+<pre class="{bash}"><code>mamba install -c conda-forge spaceprime</code></pre>
+</section>
+<section id="from-source" class="level3">
+<h3 class="anchored" data-anchor-id="from-source">From source</h3>
+<p>To install spaceprime from source, run this command in your terminal:</p>
+<pre class="{bash}"><code>pip install git+https://github.com/connor-french/spaceprime</code></pre>
+</section>
+<section id="extras" class="level3">
+<h3 class="anchored" data-anchor-id="extras">Extras</h3>
+<p>To install the <code>analysis</code> module, which is imported separately from the main package to reduce the number of dependencies:</p>
+<pre class="{bash}"><code>pip install spaceprime[analysis]</code></pre>
+<p>or</p>
+<pre class="{bash}"><code>conda install -c conda-forge spaceprime[analysis]</code></pre>
+</section>
+</section>
+<section id="usage" class="level2">
+<h2 class="anchored" data-anchor-id="usage">Usage</h2>
+<p>To use spaceprime in a project:</p>
+<div id="5bed21ee" class="cell" data-execution_count="1">
+<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> spaceprime</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>To use the <code>analysis</code> module, which is imported separately from the main package to reduce the number of dependencies:</p>
+<div id="cbab9201" class="cell" data-execution_count="2">
+<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> spaceprime <span class="im">import</span> analysis</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<div class="callout callout-style-default callout-important callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Important
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>Make sure to install the relevant analysis dependencies with <code>pip install spaceprime[analysis]</code> or <code>conda install -c conda-forge spaceprime[analysis]</code>.</p>
+</div>
+</div>
+</section>
+<section id="quickstart" class="level2">
+<h2 class="anchored" data-anchor-id="quickstart">Quickstart</h2>
+<div class="callout callout-style-default callout-tip callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Tip
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>This quickstart guide assumes you have a basic understanding of Python. If you are an R user, please refer to the <a href="./spaceprime-for-r-users.html">spaceprime for R users vignette</a> for an overview of <em>spaceprime</em> with the necessary Python concepts explained.</p>
+</div>
+</div>
+<section id="download-data" class="level3">
+<h3 class="anchored" data-anchor-id="download-data">1. Download data</h3>
+<p>The data we’re using in this example are a <a href="https://en.wikipedia.org/wiki/GeoTIFF">GeoTiff</a> raster file of habitat suitability values and a <a href="https://geojson.org/">GeoJSON</a> file containing geographic localities and metadata for this cute frog, <em>Phyllomedusa distincta</em>:</p>
+<div class="quarto-figure quarto-figure-center">
+<figure class="figure">
+<p><img src="images/pdistincta.jpg" class="img-fluid quarto-figure quarto-figure-center figure-img" style="width:50.0%"></p>
+</figure>
+</div>
+<p>Follow the link to download the <a href="https://github.com/connor-french/spaceprime/raw/main/spaceprime/data/projections.tif">projections.tif file</a>. You do not need to download the <a href="https://raw.githubusercontent.com/connor-french/spaceprime/main/spaceprime/data/localities.geojson">localities.geojson</a> file, as it is read in from the web in the code below.</p>
+<p>The raster file contains 23 layers, where each layer is a projection of the <a href="https://en.wikipedia.org/wiki/Species_distribution_modelling">habitat suitability model (aka species distribution model or ecological niche model)</a> to a time slice in the past, ranging from the present day to 22,000 years ago in 1,000 year intervals. The habitat suitability values range from zero to one, where zero represents no suitability for the species and one represents perfect suitability. In the following plots, <strong>yellow represents higher suitability and purple represents lower suitability</strong>. Here are a few time slices of the model:</p>
+<div id="cell-timeslices1" class="cell" data-execution_count="3">
+<div class="cell-output cell-output-display">
+<div>
+<figure class="figure">
+<p><img src="index_files/figure-html/timeslices1-output-1.png" id="timeslices1" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<p>The GeoJSON file contains geographic sampling localities of <em>P. distincta</em> in the Brazilian Atlantic Forest, along with metadata about each locality. Each row is a single individual/observation. <em>spaceprime</em> counts the number of observations with coordinates that overlap with a raster cell/deme and samples the calculated number for simulations and summary statistics. Here are the localities plotted on top of the present-day habitat suitability model:</p>
+<div id="cell-localities" class="cell" data-execution_count="4">
+<div class="cell-output cell-output-display">
+<div>
+<figure class="figure">
+<p><img src="index_files/figure-html/localities-output-1.png" id="localities" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+</section>
+<section id="read-in-packages-and-data" class="level3">
+<h3 class="anchored" data-anchor-id="read-in-packages-and-data">2. Read in packages and data</h3>
+<p>Now that we have our data, let’s read in the packages and data we’ll be using. The <a href="https://geopandas.org/en/stable/">GeoPandas</a> and <a href="https://rasterio.readthedocs.io/en/stable/index.html">Rasterio</a> packages are dependencies of <em>spaceprime</em>, so you shouldn’t need to install them separately. They are needed for reading in locality data and habitat suitability rasters, respectively.</p>
+<div id="import-packages" class="cell" data-execution_count="5">
+<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> spaceprime <span class="im">as</span> sp</span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> geopandas <span class="im">as</span> gpd</span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> rasterio</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>Make sure to replace the <code>projections.tif</code> file path with the path to the file on your system. The GeoJSON file is read in from the web, so you don’t need to download it.</p>
+<div id="read-data" class="cell" data-execution_count="6">
+<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a>r <span class="op">=</span> rasterio.<span class="bu">open</span>(<span class="st">"projections.tif"</span>)</span>
+<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a>locs <span class="op">=</span> gpd.read_file(<span class="st">"https://raw.githubusercontent.com/connor-french/spaceprime/main/spaceprime/data/localities.geojson"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+</section>
+<section id="set-up-the-demographic-model" class="level3">
+<h3 class="anchored" data-anchor-id="set-up-the-demographic-model">3. Set up the demographic model</h3>
+<p>Next, we’ll convert the habitat suitability values into deme sizes, so each cell in the raster will represent a deme in our model. We’ll use a linear transformation to convert the suitability values to deme sizes, where the suitability value is multiplied by a constant to get the deme size. The constant is the maximum local deme size, which we set to 1000. For more on transformations, see the <a href="./transformation-functions.html">suitability to deme size transformation functions vignette</a>.</p>
+<div id="raster-to-demes" class="cell" data-execution_count="7">
+<div class="sourceCode cell-code" id="cb11"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a>d <span class="op">=</span> sp.raster_to_demes(r, transformation<span class="op">=</span><span class="st">"linear"</span>, max_local_size<span class="op">=</span><span class="dv">1000</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>Now that we have our deme sizes, we can set up the demographic model. The model that <em>spaceprime</em> uses is a two-dimensional stepping-stone model with a global migration rate of 0.001 between neighboring demes. The global rate by default is scaled, where demes exchange the same number of migrants with their neighbors, regardless of deme size. To change this behavior, set <code>scale=false</code>. We’re assuming that <em>P. distincta</em> has a generation time of one year. Using a single value for the <code>timesteps</code> argument tells spaceprime that 1000 generations passes in between each raster time step in the model.</p>
+<p>This step may take a few seconds (10-15 seconds on my machine) to run.</p>
+<div id="demography" class="cell" data-execution_count="8">
+<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a><span class="co"># initialize the model</span></span>
+<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a>demo <span class="op">=</span> sp.spDemography()</span>
+<span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a><span class="co"># populate the spDemography object with the deme sizes and migration rates</span></span>
+<span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a>demo.stepping_stone_2d(d, rate<span class="op">=</span><span class="fl">0.001</span>, timesteps<span class="op">=</span><span class="dv">1000</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>After initializing the spatial component of the simulation, it’s desirable to add one or more ancestral populations to the model. This is done by providing a list of ancestral population sizes and the time (in generations) at which the spatially distributed demes migrate into the ancestral population(s). The following code adds a single ancestral population of 100,000 individuals that demes merge into 23,000 generations in the past:</p>
+<div id="anc-pops" class="cell" data-execution_count="9">
+<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="co"># add ancestral population</span></span>
+<span id="cb13-2"><a href="#cb13-2" aria-hidden="true" tabindex="-1"></a>demo.add_ancestral_populations([<span class="dv">100000</span>], <span class="dv">23000</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+</section>
+<section id="inspect-your-model" class="level3">
+<h3 class="anchored" data-anchor-id="inspect-your-model">4. Inspect your model</h3>
+<p>Now that we have our demographic model set up, we can inspect it to make sure it looks as expected. <em>spaceprime</em> has a series of <code>plot_()</code> functions that make this easier.</p>
+<section id="plot_landscape" class="level4">
+<h4 class="anchored" data-anchor-id="plot_landscape"><code>plot_landscape()</code></h4>
+<p><code>plot_landscape()</code> plots the deme sizes in space, which allows you to quickly inspect whether the transformation you applied to your habitat suitability map make sense. Here, we provide the demographic model object, the raster object, the index of the time slice to plot (0 for the present day in this case), and <code>basemap=True</code> to add an <a href="https://www.openstreetmap.org/">OpenStreetMap</a> basemap, providing geographic context to the plot. If you don’t have an internet connection, set <code>basemap=False</code> (the default) to plot without the basemap.</p>
+<div id="cell-plot-landscape" class="cell" data-execution_count="10">
+<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>sp.plot_landscape(demo, r, <span class="dv">0</span>, basemap<span class="op">=</span><span class="va">True</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-display">
+<div>
+<figure class="figure">
+<p><img src="index_files/figure-html/plot-landscape-output-1.png" id="plot-landscape" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+</section>
+<section id="plot_model" class="level4">
+<h4 class="anchored" data-anchor-id="plot_model"><code>plot_model()</code></h4>
+<p><code>plot_model()</code> plots the deme sizes on a <a href="https://python-visualization.github.io/folium/latest/index.html">folium</a> interactive map, with precise deme sizes and outgoing migration rates for each deme present in a popup.</p>
+<div id="cell-plot-model" class="cell" data-execution_count="11">
+<div class="sourceCode cell-code" id="cb15"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a>sp.plot_model(demo, r, <span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div id="plot-model" class="cell-output cell-output-display" data-execution_count="7">
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+            switch(feature.id) {
+                case &quot;0&quot;: case &quot;1509&quot;: case &quot;1586&quot;: case &quot;1590&quot;: case &quot;1698&quot;: case &quot;1700&quot;: case &quot;1727&quot;: 
+                    return {&quot;color&quot;: &quot;#481668&quot;, &quot;fillColor&quot;: &quot;#481668&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1&quot;: case &quot;8&quot;: case &quot;20&quot;: case &quot;21&quot;: case &quot;25&quot;: case &quot;26&quot;: case &quot;35&quot;: case &quot;1315&quot;: case &quot;1319&quot;: case &quot;1564&quot;: case &quot;1603&quot;: case &quot;1636&quot;: case &quot;1645&quot;: case &quot;1664&quot;: case &quot;1699&quot;: case &quot;1701&quot;: 
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+                    return {&quot;color&quot;: &quot;#48186a&quot;, &quot;fillColor&quot;: &quot;#48186a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;4&quot;: case &quot;1386&quot;: case &quot;1529&quot;: case &quot;1587&quot;: case &quot;1608&quot;: case &quot;1614&quot;: case &quot;1646&quot;: case &quot;1689&quot;: 
+                    return {&quot;color&quot;: &quot;#481467&quot;, &quot;fillColor&quot;: &quot;#481467&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;5&quot;: case &quot;7&quot;: case &quot;1317&quot;: case &quot;1589&quot;: case &quot;1612&quot;: case &quot;1627&quot;: case &quot;1628&quot;: case &quot;1647&quot;: case &quot;1665&quot;: case &quot;1726&quot;: 
+                    return {&quot;color&quot;: &quot;#471365&quot;, &quot;fillColor&quot;: &quot;#471365&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;6&quot;: case &quot;1588&quot;: case &quot;1602&quot;: case &quot;1611&quot;: case &quot;1613&quot;: case &quot;1635&quot;: case &quot;1673&quot;: case &quot;1692&quot;: case &quot;1697&quot;: 
+                    return {&quot;color&quot;: &quot;#471164&quot;, &quot;fillColor&quot;: &quot;#471164&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;9&quot;: case &quot;17&quot;: case &quot;34&quot;: case &quot;44&quot;: case &quot;48&quot;: case &quot;57&quot;: case &quot;95&quot;: case &quot;1357&quot;: case &quot;1540&quot;: case &quot;1543&quot;: case &quot;1544&quot;: case &quot;1567&quot;: case &quot;1607&quot;: case &quot;1643&quot;: case &quot;1661&quot;: case &quot;1712&quot;: case &quot;1716&quot;: case &quot;1728&quot;: 
+                    return {&quot;color&quot;: &quot;#481b6d&quot;, &quot;fillColor&quot;: &quot;#481b6d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;10&quot;: case &quot;16&quot;: case &quot;28&quot;: case &quot;30&quot;: case &quot;47&quot;: case &quot;53&quot;: case &quot;65&quot;: case &quot;75&quot;: case &quot;94&quot;: case &quot;104&quot;: case &quot;1358&quot;: case &quot;1606&quot;: case &quot;1623&quot;: case &quot;1625&quot;: case &quot;1736&quot;: 
+                    return {&quot;color&quot;: &quot;#481f70&quot;, &quot;fillColor&quot;: &quot;#481f70&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;11&quot;: case &quot;103&quot;: case &quot;134&quot;: case &quot;276&quot;: case &quot;1393&quot;: case &quot;1394&quot;: case &quot;1451&quot;: case &quot;1452&quot;: case &quot;1454&quot;: case &quot;1481&quot;: case &quot;1482&quot;: case &quot;1484&quot;: case &quot;1605&quot;: case &quot;1704&quot;: 
+                    return {&quot;color&quot;: &quot;#482475&quot;, &quot;fillColor&quot;: &quot;#482475&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;12&quot;: case &quot;29&quot;: case &quot;50&quot;: case &quot;52&quot;: case &quot;1324&quot;: case &quot;1360&quot;: case &quot;1361&quot;: case &quot;1389&quot;: case &quot;1444&quot;: case &quot;1511&quot;: case &quot;1514&quot;: case &quot;1537&quot;: case &quot;1637&quot;: case &quot;1718&quot;: case &quot;1721&quot;: case &quot;1731&quot;: case &quot;1732&quot;: case &quot;1735&quot;: 
+                    return {&quot;color&quot;: &quot;#482071&quot;, &quot;fillColor&quot;: &quot;#482071&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;13&quot;: case &quot;14&quot;: case &quot;31&quot;: case &quot;49&quot;: case &quot;54&quot;: case &quot;66&quot;: case &quot;67&quot;: case &quot;68&quot;: case &quot;96&quot;: case &quot;1353&quot;: case &quot;1354&quot;: case &quot;1355&quot;: case &quot;1388&quot;: case &quot;1390&quot;: case &quot;1542&quot;: case &quot;1545&quot;: case &quot;1561&quot;: case &quot;1568&quot;: case &quot;1585&quot;: case &quot;1593&quot;: case &quot;1642&quot;: case &quot;1703&quot;: case &quot;1717&quot;: case &quot;1720&quot;: case &quot;1723&quot;: case &quot;1724&quot;: case &quot;1743&quot;: 
+                    return {&quot;color&quot;: &quot;#481c6e&quot;, &quot;fillColor&quot;: &quot;#481c6e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;15&quot;: case &quot;61&quot;: case &quot;62&quot;: case &quot;86&quot;: case &quot;87&quot;: case &quot;1290&quot;: case &quot;1291&quot;: case &quot;1387&quot;: case &quot;1392&quot;: case &quot;1445&quot;: case &quot;1483&quot;: case &quot;1510&quot;: case &quot;1515&quot;: case &quot;1571&quot;: case &quot;1584&quot;: case &quot;1604&quot;: case &quot;1624&quot;: 
+                    return {&quot;color&quot;: &quot;#482374&quot;, &quot;fillColor&quot;: &quot;#482374&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;18&quot;: case &quot;23&quot;: case &quot;42&quot;: case &quot;43&quot;: case &quot;1321&quot;: case &quot;1322&quot;: case &quot;1356&quot;: case &quot;1420&quot;: case &quot;1539&quot;: case &quot;1562&quot;: case &quot;1566&quot;: case &quot;1583&quot;: case &quot;1592&quot;: case &quot;1615&quot;: case &quot;1662&quot;: case &quot;1702&quot;: case &quot;1710&quot;: case &quot;1713&quot;: case &quot;1740&quot;: 
+                    return {&quot;color&quot;: &quot;#481a6c&quot;, &quot;fillColor&quot;: &quot;#481a6c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;32&quot;: case &quot;60&quot;: case &quot;64&quot;: case &quot;69&quot;: case &quot;76&quot;: case &quot;101&quot;: case &quot;105&quot;: case &quot;1289&quot;: case &quot;1325&quot;: case &quot;1326&quot;: case &quot;1359&quot;: case &quot;1391&quot;: case &quot;1423&quot;: case &quot;1485&quot;: case &quot;1512&quot;: case &quot;1513&quot;: case &quot;1516&quot;: case &quot;1517&quot;: case &quot;1546&quot;: case &quot;1570&quot;: case &quot;1594&quot;: case &quot;1690&quot;: case &quot;1737&quot;: 
+                    return {&quot;color&quot;: &quot;#482173&quot;, &quot;fillColor&quot;: &quot;#482173&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;33&quot;: case &quot;51&quot;: case &quot;58&quot;: case &quot;59&quot;: case &quot;63&quot;: case &quot;1323&quot;: case &quot;1538&quot;: case &quot;1541&quot;: case &quot;1569&quot;: case &quot;1616&quot;: case &quot;1678&quot;: case &quot;1679&quot;: case &quot;1722&quot;: case &quot;1729&quot;: case &quot;1730&quot;: 
+                    return {&quot;color&quot;: &quot;#481d6f&quot;, &quot;fillColor&quot;: &quot;#481d6f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;38&quot;: case &quot;84&quot;: case &quot;98&quot;: case &quot;127&quot;: case &quot;130&quot;: case &quot;140&quot;: case &quot;144&quot;: case &quot;183&quot;: case &quot;196&quot;: case &quot;223&quot;: case &quot;227&quot;: case &quot;229&quot;: case &quot;230&quot;: case &quot;242&quot;: case &quot;318&quot;: case &quot;321&quot;: case &quot;405&quot;: case &quot;417&quot;: case &quot;631&quot;: case &quot;709&quot;: case &quot;746&quot;: case &quot;782&quot;: case &quot;1617&quot;: 
+                    return {&quot;color&quot;: &quot;#472a7a&quot;, &quot;fillColor&quot;: &quot;#472a7a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;39&quot;: case &quot;73&quot;: case &quot;125&quot;: case &quot;189&quot;: case &quot;238&quot;: case &quot;314&quot;: case &quot;338&quot;: case &quot;465&quot;: case &quot;551&quot;: case &quot;672&quot;: case &quot;706&quot;: case &quot;744&quot;: case &quot;976&quot;: case &quot;1180&quot;: case &quot;1519&quot;: case &quot;1572&quot;: case &quot;1596&quot;: 
+                    return {&quot;color&quot;: &quot;#453781&quot;, &quot;fillColor&quot;: &quot;#453781&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;40&quot;: case &quot;168&quot;: case &quot;169&quot;: case &quot;188&quot;: case &quot;219&quot;: case &quot;232&quot;: case &quot;245&quot;: case &quot;247&quot;: case &quot;261&quot;: case &quot;265&quot;: case &quot;278&quot;: case &quot;311&quot;: case &quot;312&quot;: case &quot;320&quot;: case &quot;370&quot;: case &quot;460&quot;: case &quot;548&quot;: case &quot;592&quot;: case &quot;597&quot;: case &quot;599&quot;: case &quot;707&quot;: case &quot;781&quot;: case &quot;822&quot;: case &quot;957&quot;: case &quot;1050&quot;: case &quot;1328&quot;: case &quot;1363&quot;: case &quot;1618&quot;: case &quot;1739&quot;: 
+                    return {&quot;color&quot;: &quot;#46327e&quot;, &quot;fillColor&quot;: &quot;#46327e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;41&quot;: case &quot;70&quot;: case &quot;74&quot;: case &quot;77&quot;: case &quot;90&quot;: case &quot;114&quot;: case &quot;139&quot;: case &quot;146&quot;: case &quot;184&quot;: case &quot;225&quot;: case &quot;271&quot;: case &quot;356&quot;: case &quot;357&quot;: case &quot;457&quot;: case &quot;507&quot;: case &quot;553&quot;: case &quot;554&quot;: case &quot;1288&quot;: case &quot;1327&quot;: case &quot;1362&quot;: case &quot;1395&quot;: case &quot;1426&quot;: case &quot;1456&quot;: 
+                    return {&quot;color&quot;: &quot;#482878&quot;, &quot;fillColor&quot;: &quot;#482878&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;45&quot;: case &quot;111&quot;: case &quot;180&quot;: case &quot;187&quot;: case &quot;199&quot;: case &quot;231&quot;: case &quot;243&quot;: case &quot;246&quot;: case &quot;262&quot;: case &quot;308&quot;: case &quot;309&quot;: case &quot;323&quot;: case &quot;368&quot;: case &quot;416&quot;: case &quot;453&quot;: case &quot;504&quot;: case &quot;552&quot;: case &quot;555&quot;: case &quot;1258&quot;: case &quot;1733&quot;: 
+                    return {&quot;color&quot;: &quot;#472e7c&quot;, &quot;fillColor&quot;: &quot;#472e7c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;46&quot;: case &quot;967&quot;: case &quot;1260&quot;: 
+                    return {&quot;color&quot;: &quot;#27808e&quot;, &quot;fillColor&quot;: &quot;#27808e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;71&quot;: case &quot;233&quot;: case &quot;239&quot;: case &quot;260&quot;: case &quot;266&quot;: case &quot;369&quot;: case &quot;372&quot;: case &quot;596&quot;: case &quot;638&quot;: case &quot;711&quot;: case &quot;817&quot;: case &quot;956&quot;: case &quot;1080&quot;: case &quot;1181&quot;: case &quot;1213&quot;: case &quot;1397&quot;: case &quot;1429&quot;: 
+                    return {&quot;color&quot;: &quot;#453882&quot;, &quot;fillColor&quot;: &quot;#453882&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;72&quot;: case &quot;350&quot;: case &quot;462&quot;: case &quot;466&quot;: case &quot;468&quot;: case &quot;521&quot;: case &quot;594&quot;: case &quot;716&quot;: case &quot;790&quot;: case &quot;813&quot;: case &quot;848&quot;: case &quot;855&quot;: case &quot;1049&quot;: case &quot;1082&quot;: case &quot;1116&quot;: case &quot;1224&quot;: case &quot;1279&quot;: case &quot;1329&quot;: 
+                    return {&quot;color&quot;: &quot;#404688&quot;, &quot;fillColor&quot;: &quot;#404688&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;78&quot;: case &quot;159&quot;: case &quot;203&quot;: case &quot;281&quot;: case &quot;304&quot;: case &quot;327&quot;: case &quot;349&quot;: case &quot;515&quot;: case &quot;516&quot;: case &quot;635&quot;: case &quot;675&quot;: case &quot;721&quot;: case &quot;847&quot;: case &quot;881&quot;: case &quot;918&quot;: case &quot;922&quot;: case &quot;924&quot;: case &quot;1418&quot;: 
+                    return {&quot;color&quot;: &quot;#3f4788&quot;, &quot;fillColor&quot;: &quot;#3f4788&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;79&quot;: case &quot;352&quot;: case &quot;395&quot;: case &quot;528&quot;: case &quot;1130&quot;: 
+                    return {&quot;color&quot;: &quot;#2f6c8e&quot;, &quot;fillColor&quot;: &quot;#2f6c8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;80&quot;: case &quot;545&quot;: case &quot;576&quot;: case &quot;654&quot;: case &quot;799&quot;: case &quot;1133&quot;: case &quot;1263&quot;: case &quot;1658&quot;: 
+                    return {&quot;color&quot;: &quot;#1f988b&quot;, &quot;fillColor&quot;: &quot;#1f988b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;81&quot;: case &quot;701&quot;: case &quot;904&quot;: case &quot;1193&quot;: 
+                    return {&quot;color&quot;: &quot;#20a486&quot;, &quot;fillColor&quot;: &quot;#20a486&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;82&quot;: case &quot;1229&quot;: case &quot;1401&quot;: 
+                    return {&quot;color&quot;: &quot;#1e9d89&quot;, &quot;fillColor&quot;: &quot;#1e9d89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;83&quot;: case &quot;447&quot;: case &quot;866&quot;: case &quot;894&quot;: case &quot;1056&quot;: case &quot;1400&quot;: 
+                    return {&quot;color&quot;: &quot;#2c738e&quot;, &quot;fillColor&quot;: &quot;#2c738e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;85&quot;: case &quot;107&quot;: case &quot;113&quot;: case &quot;129&quot;: case &quot;138&quot;: case &quot;157&quot;: case &quot;158&quot;: case &quot;179&quot;: case &quot;277&quot;: case &quot;358&quot;: case &quot;367&quot;: case &quot;407&quot;: case &quot;669&quot;: case &quot;670&quot;: case &quot;1292&quot;: case &quot;1457&quot;: case &quot;1487&quot;: case &quot;1488&quot;: case &quot;1656&quot;: case &quot;1725&quot;: case &quot;1738&quot;: 
+                    return {&quot;color&quot;: &quot;#482979&quot;, &quot;fillColor&quot;: &quot;#482979&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;88&quot;: case &quot;89&quot;: case &quot;91&quot;: case &quot;92&quot;: case &quot;97&quot;: case &quot;100&quot;: case &quot;115&quot;: case &quot;135&quot;: case &quot;136&quot;: case &quot;147&quot;: case &quot;178&quot;: case &quot;224&quot;: case &quot;273&quot;: case &quot;274&quot;: case &quot;288&quot;: case &quot;408&quot;: case &quot;458&quot;: case &quot;505&quot;: case &quot;590&quot;: case &quot;1421&quot;: case &quot;1425&quot;: case &quot;1486&quot;: case &quot;1518&quot;: case &quot;1595&quot;: case &quot;1719&quot;: case &quot;1744&quot;: 
+                    return {&quot;color&quot;: &quot;#482677&quot;, &quot;fillColor&quot;: &quot;#482677&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;93&quot;: case &quot;102&quot;: case &quot;133&quot;: case &quot;272&quot;: case &quot;275&quot;: case &quot;506&quot;: case &quot;630&quot;: case &quot;1257&quot;: case &quot;1422&quot;: case &quot;1424&quot;: case &quot;1453&quot;: case &quot;1455&quot;: 
+                    return {&quot;color&quot;: &quot;#482576&quot;, &quot;fillColor&quot;: &quot;#482576&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;106&quot;: case &quot;153&quot;: case &quot;155&quot;: case &quot;174&quot;: case &quot;195&quot;: case &quot;197&quot;: case &quot;215&quot;: case &quot;217&quot;: case &quot;218&quot;: case &quot;310&quot;: case &quot;359&quot;: case &quot;361&quot;: case &quot;454&quot;: case &quot;500&quot;: case &quot;598&quot;: case &quot;710&quot;: case &quot;1396&quot;: case &quot;1428&quot;: case &quot;1450&quot;: case &quot;1674&quot;: case &quot;1705&quot;: case &quot;1747&quot;: 
+                    return {&quot;color&quot;: &quot;#46307e&quot;, &quot;fillColor&quot;: &quot;#46307e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;108&quot;: case &quot;148&quot;: case &quot;176&quot;: case &quot;193&quot;: case &quot;194&quot;: case &quot;198&quot;: case &quot;290&quot;: case &quot;313&quot;: case &quot;360&quot;: case &quot;366&quot;: case &quot;501&quot;: case &quot;851&quot;: case &quot;987&quot;: case &quot;1256&quot;: case &quot;1449&quot;: case &quot;1490&quot;: case &quot;1746&quot;: 
+                    return {&quot;color&quot;: &quot;#463480&quot;, &quot;fillColor&quot;: &quot;#463480&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;109&quot;: case &quot;235&quot;: case &quot;237&quot;: case &quot;293&quot;: case &quot;316&quot;: case &quot;326&quot;: case &quot;388&quot;: case &quot;413&quot;: case &quot;604&quot;: case &quot;641&quot;: case &quot;642&quot;: case &quot;676&quot;: case &quot;712&quot;: case &quot;748&quot;: case &quot;854&quot;: case &quot;856&quot;: case &quot;883&quot;: case &quot;950&quot;: case &quot;984&quot;: case &quot;1016&quot;: case &quot;1053&quot;: case &quot;1113&quot;: case &quot;1216&quot;: case &quot;1398&quot;: case &quot;1430&quot;: case &quot;1748&quot;: 
+                    return {&quot;color&quot;: &quot;#424186&quot;, &quot;fillColor&quot;: &quot;#424186&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;110&quot;: case &quot;124&quot;: case &quot;213&quot;: case &quot;234&quot;: case &quot;286&quot;: case &quot;303&quot;: case &quot;422&quot;: case &quot;549&quot;: case &quot;601&quot;: case &quot;637&quot;: case &quot;643&quot;: case &quot;850&quot;: case &quot;852&quot;: case &quot;1179&quot;: case &quot;1215&quot;: case &quot;1283&quot;: case &quot;1461&quot;: 
+                    return {&quot;color&quot;: &quot;#443b84&quot;, &quot;fillColor&quot;: &quot;#443b84&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;112&quot;: case &quot;175&quot;: case &quot;214&quot;: case &quot;371&quot;: case &quot;600&quot;: case &quot;978&quot;: case &quot;1008&quot;: case &quot;1147&quot;: case &quot;1460&quot;: 
+                    return {&quot;color&quot;: &quot;#453581&quot;, &quot;fillColor&quot;: &quot;#453581&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;116&quot;: case &quot;221&quot;: case &quot;259&quot;: case &quot;291&quot;: case &quot;317&quot;: case &quot;362&quot;: case &quot;412&quot;: case &quot;502&quot;: case &quot;503&quot;: case &quot;509&quot;: case &quot;556&quot;: case &quot;644&quot;: case &quot;977&quot;: 
+                    return {&quot;color&quot;: &quot;#443a83&quot;, &quot;fillColor&quot;: &quot;#443a83&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;117&quot;: case &quot;249&quot;: case &quot;343&quot;: case &quot;429&quot;: case &quot;432&quot;: case &quot;513&quot;: case &quot;723&quot;: case &quot;1042&quot;: case &quot;1043&quot;: case &quot;1120&quot;: case &quot;1140&quot;: case &quot;1150&quot;: case &quot;1175&quot;: case &quot;1210&quot;: case &quot;1244&quot;: 
+                    return {&quot;color&quot;: &quot;#39568c&quot;, &quot;fillColor&quot;: &quot;#39568c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;118&quot;: case &quot;377&quot;: case &quot;424&quot;: case &quot;479&quot;: case &quot;514&quot;: case &quot;792&quot;: case &quot;1010&quot;: case &quot;1073&quot;: case &quot;1111&quot;: case &quot;1142&quot;: case &quot;1151&quot;: case &quot;1246&quot;: case &quot;1253&quot;: 
+                    return {&quot;color&quot;: &quot;#3a548c&quot;, &quot;fillColor&quot;: &quot;#3a548c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;119&quot;: case &quot;120&quot;: case &quot;160&quot;: case &quot;164&quot;: case &quot;376&quot;: case &quot;609&quot;: case &quot;611&quot;: case &quot;1055&quot;: case &quot;1207&quot;: case &quot;1208&quot;: 
+                    return {&quot;color&quot;: &quot;#31668e&quot;, &quot;fillColor&quot;: &quot;#31668e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;121&quot;: case &quot;375&quot;: case &quot;426&quot;: case &quot;1044&quot;: case &quot;1106&quot;: case &quot;1107&quot;: case &quot;1639&quot;: 
+                    return {&quot;color&quot;: &quot;#375a8c&quot;, &quot;fillColor&quot;: &quot;#375a8c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;122&quot;: case &quot;428&quot;: case &quot;472&quot;: case &quot;607&quot;: 
+                    return {&quot;color&quot;: &quot;#365d8d&quot;, &quot;fillColor&quot;: &quot;#365d8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;123&quot;: case &quot;830&quot;: case &quot;1156&quot;: case &quot;1171&quot;: case &quot;1277&quot;: case &quot;1313&quot;: 
+                    return {&quot;color&quot;: &quot;#2c718e&quot;, &quot;fillColor&quot;: &quot;#2c718e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;128&quot;: case &quot;137&quot;: case &quot;141&quot;: case &quot;142&quot;: case &quot;143&quot;: case &quot;171&quot;: case &quot;172&quot;: case &quot;173&quot;: case &quot;177&quot;: case &quot;182&quot;: case &quot;185&quot;: case &quot;191&quot;: case &quot;200&quot;: case &quot;226&quot;: case &quot;228&quot;: case &quot;241&quot;: case &quot;263&quot;: case &quot;322&quot;: case &quot;406&quot;: case &quot;459&quot;: case &quot;546&quot;: case &quot;745&quot;: case &quot;1427&quot;: case &quot;1458&quot;: case &quot;1489&quot;: case &quot;1638&quot;: 
+                    return {&quot;color&quot;: &quot;#472c7a&quot;, &quot;fillColor&quot;: &quot;#472c7a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;131&quot;: case &quot;132&quot;: case &quot;145&quot;: case &quot;170&quot;: case &quot;181&quot;: case &quot;186&quot;: case &quot;192&quot;: case &quot;201&quot;: case &quot;216&quot;: case &quot;258&quot;: case &quot;270&quot;: case &quot;287&quot;: case &quot;289&quot;: case &quot;319&quot;: case &quot;409&quot;: case &quot;456&quot;: case &quot;508&quot;: case &quot;547&quot;: case &quot;591&quot;: case &quot;668&quot;: case &quot;708&quot;: case &quot;783&quot;: case &quot;1223&quot;: case &quot;1741&quot;: 
+                    return {&quot;color&quot;: &quot;#472d7b&quot;, &quot;fillColor&quot;: &quot;#472d7b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;149&quot;: case &quot;340&quot;: case &quot;363&quot;: case &quot;373&quot;: case &quot;436&quot;: case &quot;602&quot;: case &quot;605&quot;: case &quot;720&quot;: case &quot;742&quot;: case &quot;818&quot;: case &quot;823&quot;: case &quot;849&quot;: case &quot;1217&quot;: case &quot;1286&quot;: 
+                    return {&quot;color&quot;: &quot;#414487&quot;, &quot;fillColor&quot;: &quot;#414487&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;150&quot;: case &quot;284&quot;: case &quot;342&quot;: case &quot;383&quot;: case &quot;430&quot;: case &quot;484&quot;: case &quot;511&quot;: case &quot;786&quot;: case &quot;859&quot;: case &quot;953&quot;: case &quot;1019&quot;: case &quot;1072&quot;: case &quot;1074&quot;: case &quot;1462&quot;: 
+                    return {&quot;color&quot;: &quot;#3b528b&quot;, &quot;fillColor&quot;: &quot;#3b528b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;151&quot;: case &quot;328&quot;: case &quot;374&quot;: case &quot;378&quot;: case &quot;471&quot;: case &quot;646&quot;: case &quot;751&quot;: case &quot;757&quot;: case &quot;952&quot;: case &quot;1076&quot;: case &quot;1110&quot;: case &quot;1144&quot;: case &quot;1149&quot;: case &quot;1186&quot;: case &quot;1254&quot;: case &quot;1472&quot;: case &quot;1492&quot;: 
+                    return {&quot;color&quot;: &quot;#3a538b&quot;, &quot;fillColor&quot;: &quot;#3a538b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;152&quot;: case &quot;292&quot;: case &quot;339&quot;: case &quot;418&quot;: case &quot;461&quot;: case &quot;593&quot;: case &quot;633&quot;: case &quot;754&quot;: case &quot;857&quot;: case &quot;886&quot;: case &quot;1084&quot;: case &quot;1214&quot;: case &quot;1282&quot;: case &quot;1742&quot;: 
+                    return {&quot;color&quot;: &quot;#433d84&quot;, &quot;fillColor&quot;: &quot;#433d84&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;154&quot;: case &quot;220&quot;: case &quot;325&quot;: case &quot;464&quot;: case &quot;639&quot;: case &quot;640&quot;: case &quot;680&quot;: case &quot;718&quot;: case &quot;719&quot;: case &quot;885&quot;: case &quot;944&quot;: case &quot;1115&quot;: case &quot;1364&quot;: case &quot;1382&quot;: 
+                    return {&quot;color&quot;: &quot;#443983&quot;, &quot;fillColor&quot;: &quot;#443983&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;161&quot;: case &quot;618&quot;: case &quot;764&quot;: case &quot;1159&quot;: case &quot;1161&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa187&quot;, &quot;fillColor&quot;: &quot;#1fa187&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;162&quot;: case &quot;452&quot;: case &quot;653&quot;: case &quot;655&quot;: case &quot;732&quot;: case &quot;970&quot;: case &quot;1333&quot;: case &quot;1367&quot;: 
+                    return {&quot;color&quot;: &quot;#1f9a8a&quot;, &quot;fillColor&quot;: &quot;#1f9a8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;163&quot;: case &quot;442&quot;: case &quot;571&quot;: case &quot;794&quot;: case &quot;1172&quot;: 
+                    return {&quot;color&quot;: &quot;#32648e&quot;, &quot;fillColor&quot;: &quot;#32648e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;165&quot;: case &quot;400&quot;: case &quot;482&quot;: case &quot;608&quot;: case &quot;795&quot;: case &quot;860&quot;: case &quot;926&quot;: case &quot;1022&quot;: case &quot;1188&quot;: case &quot;1276&quot;: 
+                    return {&quot;color&quot;: &quot;#30698e&quot;, &quot;fillColor&quot;: &quot;#30698e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;166&quot;: case &quot;254&quot;: case &quot;835&quot;: case &quot;869&quot;: case &quot;969&quot;: 
+                    return {&quot;color&quot;: &quot;#218f8d&quot;, &quot;fillColor&quot;: &quot;#218f8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;167&quot;: case &quot;661&quot;: case &quot;739&quot;: case &quot;872&quot;: 
+                    return {&quot;color&quot;: &quot;#4cc26c&quot;, &quot;fillColor&quot;: &quot;#4cc26c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;190&quot;: case &quot;222&quot;: case &quot;335&quot;: case &quot;336&quot;: case &quot;337&quot;: case &quot;411&quot;: case &quot;455&quot;: case &quot;747&quot;: case &quot;815&quot;: case &quot;816&quot;: case &quot;1114&quot;: case &quot;1212&quot;: case &quot;1287&quot;: 
+                    return {&quot;color&quot;: &quot;#46337f&quot;, &quot;fillColor&quot;: &quot;#46337f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;202&quot;: case &quot;236&quot;: case &quot;269&quot;: case &quot;420&quot;: case &quot;470&quot;: case &quot;550&quot;: case &quot;743&quot;: case &quot;755&quot;: case &quot;814&quot;: case &quot;888&quot;: case &quot;1079&quot;: case &quot;1083&quot;: case &quot;1419&quot;: case &quot;1520&quot;: 
+                    return {&quot;color&quot;: &quot;#423f85&quot;, &quot;fillColor&quot;: &quot;#423f85&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;204&quot;: case &quot;491&quot;: case &quot;575&quot;: case &quot;797&quot;: case &quot;901&quot;: case &quot;994&quot;: case &quot;996&quot;: case &quot;1000&quot;: case &quot;1001&quot;: case &quot;1026&quot;: case &quot;1030&quot;: case &quot;1095&quot;: case &quot;1272&quot;: case &quot;1273&quot;: case &quot;1274&quot;: case &quot;1366&quot;: case &quot;1410&quot;: case &quot;1575&quot;: 
+                    return {&quot;color&quot;: &quot;#26828e&quot;, &quot;fillColor&quot;: &quot;#26828e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;205&quot;: case &quot;538&quot;: case &quot;1227&quot;: 
+                    return {&quot;color&quot;: &quot;#3bbb75&quot;, &quot;fillColor&quot;: &quot;#3bbb75&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;206&quot;: case &quot;449&quot;: case &quot;725&quot;: case &quot;765&quot;: case &quot;834&quot;: case &quot;1061&quot;: case &quot;1158&quot;: case &quot;1225&quot;: case &quot;1231&quot;: case &quot;1264&quot;: 
+                    return {&quot;color&quot;: &quot;#23888e&quot;, &quot;fillColor&quot;: &quot;#23888e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;207&quot;: case &quot;730&quot;: case &quot;1063&quot;: case &quot;1265&quot;: case &quot;1295&quot;: case &quot;1376&quot;: case &quot;1378&quot;: case &quot;1522&quot;: 
+                    return {&quot;color&quot;: &quot;#228c8d&quot;, &quot;fillColor&quot;: &quot;#228c8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;208&quot;: case &quot;448&quot;: case &quot;897&quot;: case &quot;931&quot;: case &quot;964&quot;: case &quot;1122&quot;: case &quot;1442&quot;: 
+                    return {&quot;color&quot;: &quot;#277e8e&quot;, &quot;fillColor&quot;: &quot;#277e8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;209&quot;: case &quot;871&quot;: case &quot;1100&quot;: case &quot;1525&quot;: 
+                    return {&quot;color&quot;: &quot;#34b679&quot;, &quot;fillColor&quot;: &quot;#34b679&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;210&quot;: case &quot;624&quot;: case &quot;625&quot;: case &quot;702&quot;: case &quot;733&quot;: case &quot;1578&quot;: 
+                    return {&quot;color&quot;: &quot;#2eb37c&quot;, &quot;fillColor&quot;: &quot;#2eb37c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;211&quot;: case &quot;537&quot;: case &quot;656&quot;: case &quot;1226&quot;: 
+                    return {&quot;color&quot;: &quot;#22a884&quot;, &quot;fillColor&quot;: &quot;#22a884&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;212&quot;: case &quot;379&quot;: case &quot;425&quot;: case &quot;951&quot;: case &quot;1009&quot;: case &quot;1011&quot;: case &quot;1015&quot;: case &quot;1020&quot;: case &quot;1177&quot;: 
+                    return {&quot;color&quot;: &quot;#3d4e8a&quot;, &quot;fillColor&quot;: &quot;#3d4e8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;248&quot;: case &quot;364&quot;: case &quot;384&quot;: case &quot;437&quot;: case &quot;438&quot;: case &quot;520&quot;: case &quot;722&quot;: case &quot;779&quot;: case &quot;812&quot;: case &quot;879&quot;: case &quot;889&quot;: case &quot;915&quot;: case &quot;916&quot;: case &quot;917&quot;: case &quot;923&quot;: case &quot;954&quot;: case &quot;982&quot;: case &quot;1039&quot;: case &quot;1118&quot;: case &quot;1183&quot;: case &quot;1259&quot;: case &quot;1284&quot;: case &quot;1314&quot;: case &quot;1657&quot;: case &quot;1675&quot;: 
+                    return {&quot;color&quot;: &quot;#3f4889&quot;, &quot;fillColor&quot;: &quot;#3f4889&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;250&quot;: case &quot;301&quot;: case &quot;346&quot;: case &quot;932&quot;: case &quot;965&quot;: case &quot;966&quot;: case &quot;1347&quot;: case &quot;1348&quot;: 
+                    return {&quot;color&quot;: &quot;#297b8e&quot;, &quot;fillColor&quot;: &quot;#297b8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;251&quot;: case &quot;298&quot;: case &quot;693&quot;: case &quot;1196&quot;: 
+                    return {&quot;color&quot;: &quot;#1f948c&quot;, &quot;fillColor&quot;: &quot;#1f948c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;252&quot;: case &quot;494&quot;: case &quot;544&quot;: case &quot;586&quot;: case &quot;734&quot;: case &quot;905&quot;: case &quot;1495&quot;: case &quot;1621&quot;: 
+                    return {&quot;color&quot;: &quot;#2ab07f&quot;, &quot;fillColor&quot;: &quot;#2ab07f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;253&quot;: case &quot;1577&quot;: 
+                    return {&quot;color&quot;: &quot;#86d549&quot;, &quot;fillColor&quot;: &quot;#86d549&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;255&quot;: case &quot;620&quot;: case &quot;1404&quot;: 
+                    return {&quot;color&quot;: &quot;#6ccd5a&quot;, &quot;fillColor&quot;: &quot;#6ccd5a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;256&quot;: case &quot;543&quot;: case &quot;903&quot;: case &quot;1127&quot;: case &quot;1162&quot;: case &quot;1266&quot;: case &quot;1300&quot;: case &quot;1332&quot;: 
+                    return {&quot;color&quot;: &quot;#1e9b8a&quot;, &quot;fillColor&quot;: &quot;#1e9b8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;257&quot;: case &quot;279&quot;: case &quot;677&quot;: case &quot;682&quot;: case &quot;784&quot;: case &quot;821&quot;: case &quot;887&quot;: case &quot;1146&quot;: case &quot;1548&quot;: case &quot;1749&quot;: 
+                    return {&quot;color&quot;: &quot;#433e85&quot;, &quot;fillColor&quot;: &quot;#433e85&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;267&quot;: case &quot;386&quot;: case &quot;421&quot;: case &quot;595&quot;: case &quot;636&quot;: case &quot;645&quot;: case &quot;678&quot;: case &quot;683&quot;: case &quot;684&quot;: case &quot;780&quot;: case &quot;853&quot;: case &quot;858&quot;: case &quot;921&quot;: case &quot;983&quot;: case &quot;1017&quot;: case &quot;1081&quot;: case &quot;1085&quot;: case &quot;1184&quot;: case &quot;1293&quot;: case &quot;1691&quot;: 
+                    return {&quot;color&quot;: &quot;#424086&quot;, &quot;fillColor&quot;: &quot;#424086&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;268&quot;: case &quot;315&quot;: case &quot;334&quot;: case &quot;387&quot;: case &quot;415&quot;: case &quot;419&quot;: case &quot;673&quot;: case &quot;679&quot;: case &quot;681&quot;: case &quot;753&quot;: case &quot;884&quot;: case &quot;920&quot;: case &quot;955&quot;: case &quot;1182&quot;: case &quot;1491&quot;: 
+                    return {&quot;color&quot;: &quot;#414287&quot;, &quot;fillColor&quot;: &quot;#414287&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;280&quot;: case &quot;365&quot;: case &quot;385&quot;: case &quot;463&quot;: case &quot;469&quot;: case &quot;603&quot;: case &quot;717&quot;: case &quot;756&quot;: case &quot;882&quot;: case &quot;891&quot;: case &quot;919&quot;: case &quot;945&quot;: case &quot;946&quot;: case &quot;948&quot;: case &quot;979&quot;: case &quot;1018&quot;: case &quot;1048&quot;: case &quot;1117&quot;: case &quot;1148&quot;: 
+                    return {&quot;color&quot;: &quot;#404588&quot;, &quot;fillColor&quot;: &quot;#404588&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;282&quot;: case &quot;294&quot;: case &quot;302&quot;: case &quot;389&quot;: case &quot;517&quot;: case &quot;634&quot;: case &quot;674&quot;: case &quot;713&quot;: case &quot;880&quot;: case &quot;890&quot;: case &quot;912&quot;: case &quot;914&quot;: case &quot;980&quot;: case &quot;1047&quot;: case &quot;1052&quot;: case &quot;1078&quot;: case &quot;1247&quot;: case &quot;1281&quot;: 
+                    return {&quot;color&quot;: &quot;#3e4989&quot;, &quot;fillColor&quot;: &quot;#3e4989&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;283&quot;: case &quot;431&quot;: case &quot;467&quot;: case &quot;811&quot;: case &quot;988&quot;: case &quot;1077&quot;: case &quot;1152&quot;: case &quot;1218&quot;: 
+                    return {&quot;color&quot;: &quot;#3c508b&quot;, &quot;fillColor&quot;: &quot;#3c508b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;285&quot;: case &quot;295&quot;: case &quot;435&quot;: case &quot;522&quot;: case &quot;557&quot;: case &quot;820&quot;: case &quot;985&quot;: case &quot;1013&quot;: case &quot;1045&quot;: case &quot;1054&quot;: case &quot;1248&quot;: case &quot;1249&quot;: case &quot;1285&quot;: 
+                    return {&quot;color&quot;: &quot;#3b518b&quot;, &quot;fillColor&quot;: &quot;#3b518b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;296&quot;: case &quot;344&quot;: case &quot;397&quot;: case &quot;989&quot;: case &quot;1086&quot;: case &quot;1431&quot;: 
+                    return {&quot;color&quot;: &quot;#39558c&quot;, &quot;fillColor&quot;: &quot;#39558c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;297&quot;: case &quot;330&quot;: case &quot;483&quot;: case &quot;1242&quot;: case &quot;1597&quot;: 
+                    return {&quot;color&quot;: &quot;#32658e&quot;, &quot;fillColor&quot;: &quot;#32658e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;299&quot;: 
+                    return {&quot;color&quot;: &quot;#46c06f&quot;, &quot;fillColor&quot;: &quot;#46c06f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;300&quot;: case &quot;762&quot;: case &quot;767&quot;: case &quot;1166&quot;: case &quot;1298&quot;: case &quot;1334&quot;: 
+                    return {&quot;color&quot;: &quot;#1f958b&quot;, &quot;fillColor&quot;: &quot;#1f958b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;305&quot;: case &quot;826&quot;: case &quot;959&quot;: case &quot;992&quot;: case &quot;1139&quot;: 
+                    return {&quot;color&quot;: &quot;#33628d&quot;, &quot;fillColor&quot;: &quot;#33628d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;306&quot;: case &quot;731&quot;: case &quot;761&quot;: case &quot;867&quot;: case &quot;962&quot;: case &quot;968&quot;: case &quot;1002&quot;: case &quot;1198&quot;: case &quot;1493&quot;: case &quot;1599&quot;: 
+                    return {&quot;color&quot;: &quot;#24878e&quot;, &quot;fillColor&quot;: &quot;#24878e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;329&quot;: case &quot;396&quot;: case &quot;427&quot;: case &quot;1676&quot;: 
+                    return {&quot;color&quot;: &quot;#355f8d&quot;, &quot;fillColor&quot;: &quot;#355f8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;331&quot;: case &quot;647&quot;: case &quot;990&quot;: 
+                    return {&quot;color&quot;: &quot;#31688e&quot;, &quot;fillColor&quot;: &quot;#31688e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;332&quot;: case &quot;524&quot;: 
+                    return {&quot;color&quot;: &quot;#33638d&quot;, &quot;fillColor&quot;: &quot;#33638d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;333&quot;: case &quot;440&quot;: case &quot;1173&quot;: case &quot;1278&quot;: case &quot;1573&quot;: 
+                    return {&quot;color&quot;: &quot;#365c8d&quot;, &quot;fillColor&quot;: &quot;#365c8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;341&quot;: case &quot;381&quot;: case &quot;414&quot;: case &quot;512&quot;: case &quot;518&quot;: case &quot;559&quot;: case &quot;567&quot;: case &quot;569&quot;: case &quot;685&quot;: case &quot;714&quot;: case &quot;749&quot;: case &quot;778&quot;: case &quot;785&quot;: case &quot;789&quot;: case &quot;791&quot;: case &quot;824&quot;: case &quot;846&quot;: case &quot;949&quot;: case &quot;981&quot;: 
+                    return {&quot;color&quot;: &quot;#3e4c8a&quot;, &quot;fillColor&quot;: &quot;#3e4c8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;345&quot;: case &quot;392&quot;: case &quot;477&quot;: case &quot;527&quot;: case &quot;570&quot;: case &quot;612&quot;: case &quot;991&quot;: case &quot;1087&quot;: case &quot;1222&quot;: case &quot;1245&quot;: 
+                    return {&quot;color&quot;: &quot;#34608d&quot;, &quot;fillColor&quot;: &quot;#34608d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;347&quot;: case &quot;393&quot;: case &quot;724&quot;: case &quot;760&quot;: case &quot;1243&quot;: 
+                    return {&quot;color&quot;: &quot;#2f6b8e&quot;, &quot;fillColor&quot;: &quot;#2f6b8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;348&quot;: case &quot;433&quot;: case &quot;439&quot;: case &quot;475&quot;: case &quot;523&quot;: case &quot;564&quot;: case &quot;758&quot;: case &quot;1075&quot;: case &quot;1190&quot;: case &quot;1280&quot;: 
+                    return {&quot;color&quot;: &quot;#375b8d&quot;, &quot;fillColor&quot;: &quot;#375b8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;351&quot;: case &quot;380&quot;: case &quot;423&quot;: case &quot;473&quot;: case &quot;474&quot;: case &quot;561&quot;: case &quot;752&quot;: case &quot;925&quot;: case &quot;958&quot;: case &quot;1046&quot;: case &quot;1112&quot;: case &quot;1174&quot;: case &quot;1255&quot;: 
+                    return {&quot;color&quot;: &quot;#3d4d8a&quot;, &quot;fillColor&quot;: &quot;#3d4d8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;353&quot;: case &quot;1025&quot;: case &quot;1241&quot;: 
+                    return {&quot;color&quot;: &quot;#2a778e&quot;, &quot;fillColor&quot;: &quot;#2a778e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;354&quot;: case &quot;582&quot;: case &quot;619&quot;: case &quot;1465&quot;: case &quot;1553&quot;: 
+                    return {&quot;color&quot;: &quot;#31b57b&quot;, &quot;fillColor&quot;: &quot;#31b57b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;355&quot;: case &quot;497&quot;: 
+                    return {&quot;color&quot;: &quot;#70cf57&quot;, &quot;fillColor&quot;: &quot;#70cf57&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;382&quot;: case &quot;510&quot;: case &quot;562&quot;: case &quot;563&quot;: case &quot;606&quot;: case &quot;750&quot;: case &quot;777&quot;: case &quot;787&quot;: case &quot;788&quot;: case &quot;892&quot;: case &quot;986&quot;: case &quot;1014&quot;: case &quot;1041&quot;: case &quot;1108&quot;: case &quot;1119&quot;: case &quot;1143&quot;: case &quot;1176&quot;: case &quot;1211&quot;: case &quot;1250&quot;: case &quot;1365&quot;: case &quot;1414&quot;: case &quot;1443&quot;: 
+                    return {&quot;color&quot;: &quot;#3c4f8a&quot;, &quot;fillColor&quot;: &quot;#3c4f8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;390&quot;: case &quot;486&quot;: case &quot;525&quot;: case &quot;613&quot;: case &quot;686&quot;: case &quot;960&quot;: case &quot;1021&quot;: case &quot;1105&quot;: case &quot;1187&quot;: case &quot;1619&quot;: 
+                    return {&quot;color&quot;: &quot;#31678e&quot;, &quot;fillColor&quot;: &quot;#31678e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;391&quot;: case &quot;589&quot;: case &quot;827&quot;: case &quot;861&quot;: case &quot;927&quot;: case &quot;1204&quot;: case &quot;1432&quot;: 
+                    return {&quot;color&quot;: &quot;#2e6f8e&quot;, &quot;fillColor&quot;: &quot;#2e6f8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;394&quot;: case &quot;444&quot;: case &quot;862&quot;: case &quot;899&quot;: case &quot;1065&quot;: case &quot;1066&quot;: case &quot;1123&quot;: 
+                    return {&quot;color&quot;: &quot;#2a768e&quot;, &quot;fillColor&quot;: &quot;#2a768e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;398&quot;: case &quot;441&quot;: case &quot;481&quot;: case &quot;566&quot;: case &quot;759&quot;: case &quot;793&quot;: case &quot;1219&quot;: case &quot;1399&quot;: 
+                    return {&quot;color&quot;: &quot;#34618d&quot;, &quot;fillColor&quot;: &quot;#34618d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;399&quot;: case &quot;443&quot;: case &quot;572&quot;: case &quot;796&quot;: case &quot;829&quot;: case &quot;1088&quot;: case &quot;1205&quot;: case &quot;1549&quot;: 
+                    return {&quot;color&quot;: &quot;#2e6e8e&quot;, &quot;fillColor&quot;: &quot;#2e6e8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;401&quot;: case &quot;651&quot;: case &quot;652&quot;: case &quot;836&quot;: case &quot;1335&quot;: 
+                    return {&quot;color&quot;: &quot;#1e9c89&quot;, &quot;fillColor&quot;: &quot;#1e9c89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;402&quot;: case &quot;1069&quot;: case &quot;1270&quot;: 
+                    return {&quot;color&quot;: &quot;#aadc32&quot;, &quot;fillColor&quot;: &quot;#aadc32&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;403&quot;: case &quot;496&quot;: case &quot;626&quot;: case &quot;1168&quot;: 
+                    return {&quot;color&quot;: &quot;#7fd34e&quot;, &quot;fillColor&quot;: &quot;#7fd34e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;404&quot;: case &quot;939&quot;: 
+                    return {&quot;color&quot;: &quot;#50c46a&quot;, &quot;fillColor&quot;: &quot;#50c46a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;434&quot;: case &quot;478&quot;: case &quot;519&quot;: case &quot;526&quot;: case &quot;893&quot;: case &quot;1109&quot;: case &quot;1209&quot;: 
+                    return {&quot;color&quot;: &quot;#355e8d&quot;, &quot;fillColor&quot;: &quot;#355e8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;445&quot;: case &quot;489&quot;: case &quot;615&quot;: case &quot;801&quot;: case &quot;1238&quot;: case &quot;1380&quot;: case &quot;1471&quot;: 
+                    return {&quot;color&quot;: &quot;#287c8e&quot;, &quot;fillColor&quot;: &quot;#287c8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;446&quot;: case &quot;1121&quot;: case &quot;1124&quot;: case &quot;1206&quot;: 
+                    return {&quot;color&quot;: &quot;#2a788e&quot;, &quot;fillColor&quot;: &quot;#2a788e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;450&quot;: case &quot;533&quot;: case &quot;689&quot;: case &quot;729&quot;: case &quot;1233&quot;: case &quot;1261&quot;: case &quot;1370&quot;: case &quot;1402&quot;: 
+                    return {&quot;color&quot;: &quot;#21a685&quot;, &quot;fillColor&quot;: &quot;#21a685&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;451&quot;: case &quot;583&quot;: 
+                    return {&quot;color&quot;: &quot;#69cd5b&quot;, &quot;fillColor&quot;: &quot;#69cd5b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;476&quot;: case &quot;558&quot;: case &quot;565&quot;: case &quot;1012&quot;: case &quot;1153&quot;: case &quot;1294&quot;: 
+                    return {&quot;color&quot;: &quot;#38598c&quot;, &quot;fillColor&quot;: &quot;#38598c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;480&quot;: case &quot;485&quot;: case &quot;825&quot;: 
+                    return {&quot;color&quot;: &quot;#38588c&quot;, &quot;fillColor&quot;: &quot;#38588c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;487&quot;: case &quot;896&quot;: case &quot;934&quot;: case &quot;997&quot;: case &quot;999&quot;: case &quot;1098&quot;: case &quot;1163&quot;: case &quot;1440&quot;: case &quot;1441&quot;: 
+                    return {&quot;color&quot;: &quot;#277f8e&quot;, &quot;fillColor&quot;: &quot;#277f8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;488&quot;: case &quot;802&quot;: case &quot;832&quot;: case &quot;1058&quot;: case &quot;1062&quot;: case &quot;1099&quot;: case &quot;1307&quot;: case &quot;1463&quot;: 
+                    return {&quot;color&quot;: &quot;#23898e&quot;, &quot;fillColor&quot;: &quot;#23898e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;490&quot;: case &quot;1138&quot;: case &quot;1155&quot;: 
+                    return {&quot;color&quot;: &quot;#2d718e&quot;, &quot;fillColor&quot;: &quot;#2d718e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;492&quot;: case &quot;726&quot;: case &quot;870&quot;: case &quot;1126&quot;: case &quot;1369&quot;: 
+                    return {&quot;color&quot;: &quot;#1f9f88&quot;, &quot;fillColor&quot;: &quot;#1f9f88&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;493&quot;: case &quot;587&quot;: case &quot;662&quot;: 
+                    return {&quot;color&quot;: &quot;#25ab82&quot;, &quot;fillColor&quot;: &quot;#25ab82&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;495&quot;: case &quot;579&quot;: case &quot;581&quot;: case &quot;803&quot;: 
+                    return {&quot;color&quot;: &quot;#29af7f&quot;, &quot;fillColor&quot;: &quot;#29af7f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;498&quot;: case &quot;535&quot;: case &quot;578&quot;: case &quot;664&quot;: 
+                    return {&quot;color&quot;: &quot;#23a983&quot;, &quot;fillColor&quot;: &quot;#23a983&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;499&quot;: case &quot;928&quot;: case &quot;1027&quot;: case &quot;1033&quot;: case &quot;1064&quot;: case &quot;1620&quot;: 
+                    return {&quot;color&quot;: &quot;#25858e&quot;, &quot;fillColor&quot;: &quot;#25858e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;529&quot;: case &quot;930&quot;: case &quot;963&quot;: case &quot;1381&quot;: 
+                    return {&quot;color&quot;: &quot;#26818e&quot;, &quot;fillColor&quot;: &quot;#26818e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;530&quot;: case &quot;532&quot;: case &quot;800&quot;: case &quot;1308&quot;: case &quot;1346&quot;: case &quot;1411&quot;: 
+                    return {&quot;color&quot;: &quot;#25848e&quot;, &quot;fillColor&quot;: &quot;#25848e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;531&quot;: case &quot;895&quot;: case &quot;961&quot;: case &quot;998&quot;: case &quot;1191&quot;: case &quot;1330&quot;: 
+                    return {&quot;color&quot;: &quot;#287d8e&quot;, &quot;fillColor&quot;: &quot;#287d8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;534&quot;: case &quot;691&quot;: case &quot;938&quot;: case &quot;971&quot;: case &quot;1267&quot;: 
+                    return {&quot;color&quot;: &quot;#26ad81&quot;, &quot;fillColor&quot;: &quot;#26ad81&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;536&quot;: 
+                    return {&quot;color&quot;: &quot;#2db27d&quot;, &quot;fillColor&quot;: &quot;#2db27d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;539&quot;: case &quot;660&quot;: 
+                    return {&quot;color&quot;: &quot;#77d153&quot;, &quot;fillColor&quot;: &quot;#77d153&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;540&quot;: case &quot;776&quot;: case &quot;1303&quot;: 
+                    return {&quot;color&quot;: &quot;#b5de2b&quot;, &quot;fillColor&quot;: &quot;#b5de2b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;541&quot;: case &quot;580&quot;: case &quot;1301&quot;: 
+                    return {&quot;color&quot;: &quot;#2fb47c&quot;, &quot;fillColor&quot;: &quot;#2fb47c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;542&quot;: case &quot;833&quot;: case &quot;1060&quot;: case &quot;1132&quot;: case &quot;1165&quot;: case &quot;1343&quot;: 
+                    return {&quot;color&quot;: &quot;#238a8d&quot;, &quot;fillColor&quot;: &quot;#238a8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;560&quot;: case &quot;568&quot;: case &quot;715&quot;: case &quot;819&quot;: case &quot;845&quot;: case &quot;913&quot;: case &quot;947&quot;: case &quot;1040&quot;: case &quot;1141&quot;: case &quot;1145&quot;: case &quot;1178&quot;: case &quot;1185&quot;: case &quot;1251&quot;: case &quot;1252&quot;: 
+                    return {&quot;color&quot;: &quot;#3e4a89&quot;, &quot;fillColor&quot;: &quot;#3e4a89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;573&quot;: case &quot;1034&quot;: case &quot;1096&quot;: case &quot;1221&quot;: 
+                    return {&quot;color&quot;: &quot;#2e6d8e&quot;, &quot;fillColor&quot;: &quot;#2e6d8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;574&quot;: case &quot;766&quot;: case &quot;831&quot;: case &quot;898&quot;: case &quot;900&quot;: case &quot;1089&quot;: case &quot;1157&quot;: case &quot;1240&quot;: case &quot;1412&quot;: 
+                    return {&quot;color&quot;: &quot;#29798e&quot;, &quot;fillColor&quot;: &quot;#29798e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;577&quot;: 
+                    return {&quot;color&quot;: &quot;#22a785&quot;, &quot;fillColor&quot;: &quot;#22a785&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;584&quot;: case &quot;772&quot;: case &quot;1235&quot;: case &quot;1469&quot;: 
+                    return {&quot;color&quot;: &quot;#a0da39&quot;, &quot;fillColor&quot;: &quot;#a0da39&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;585&quot;: case &quot;705&quot;: 
+                    return {&quot;color&quot;: &quot;#b2dd2d&quot;, &quot;fillColor&quot;: &quot;#b2dd2d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;588&quot;: case &quot;687&quot;: case &quot;1028&quot;: case &quot;1032&quot;: case &quot;1057&quot;: 
+                    return {&quot;color&quot;: &quot;#24868e&quot;, &quot;fillColor&quot;: &quot;#24868e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;610&quot;: case &quot;864&quot;: case &quot;1024&quot;: case &quot;1189&quot;: case &quot;1197&quot;: 
+                    return {&quot;color&quot;: &quot;#2c728e&quot;, &quot;fillColor&quot;: &quot;#2c728e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;614&quot;: case &quot;863&quot;: case &quot;1097&quot;: case &quot;1239&quot;: case &quot;1312&quot;: case &quot;1574&quot;: 
+                    return {&quot;color&quot;: &quot;#2b748e&quot;, &quot;fillColor&quot;: &quot;#2b748e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;616&quot;: case &quot;798&quot;: case &quot;935&quot;: case &quot;1090&quot;: case &quot;1345&quot;: 
+                    return {&quot;color&quot;: &quot;#228d8d&quot;, &quot;fillColor&quot;: &quot;#228d8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;617&quot;: case &quot;868&quot;: case &quot;1092&quot;: case &quot;1125&quot;: case &quot;1128&quot;: 
+                    return {&quot;color&quot;: &quot;#20938c&quot;, &quot;fillColor&quot;: &quot;#20938c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;621&quot;: case &quot;805&quot;: case &quot;1337&quot;: 
+                    return {&quot;color&quot;: &quot;#8ed645&quot;, &quot;fillColor&quot;: &quot;#8ed645&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;622&quot;: case &quot;657&quot;: case &quot;769&quot;: case &quot;1496&quot;: 
+                    return {&quot;color&quot;: &quot;#3dbc74&quot;, &quot;fillColor&quot;: &quot;#3dbc74&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;623&quot;: case &quot;1003&quot;: case &quot;1035&quot;: case &quot;1464&quot;: 
+                    return {&quot;color&quot;: &quot;#25ac82&quot;, &quot;fillColor&quot;: &quot;#25ac82&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;627&quot;: case &quot;666&quot;: case &quot;1436&quot;: 
+                    return {&quot;color&quot;: &quot;#8bd646&quot;, &quot;fillColor&quot;: &quot;#8bd646&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;628&quot;: case &quot;1601&quot;: 
+                    return {&quot;color&quot;: &quot;#63cb5f&quot;, &quot;fillColor&quot;: &quot;#63cb5f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;629&quot;: case &quot;699&quot;: case &quot;737&quot;: case &quot;1467&quot;: 
+                    return {&quot;color&quot;: &quot;#5cc863&quot;, &quot;fillColor&quot;: &quot;#5cc863&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;648&quot;: case &quot;933&quot;: case &quot;993&quot;: case &quot;1230&quot;: case &quot;1311&quot;: case &quot;1413&quot;: case &quot;1550&quot;: case &quot;1598&quot;: 
+                    return {&quot;color&quot;: &quot;#297a8e&quot;, &quot;fillColor&quot;: &quot;#297a8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;649&quot;: case &quot;1059&quot;: case &quot;1094&quot;: case &quot;1129&quot;: case &quot;1310&quot;: case &quot;1377&quot;: case &quot;1379&quot;: 
+                    return {&quot;color&quot;: &quot;#228b8d&quot;, &quot;fillColor&quot;: &quot;#228b8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;650&quot;: case &quot;936&quot;: 
+                    return {&quot;color&quot;: &quot;#1f968b&quot;, &quot;fillColor&quot;: &quot;#1f968b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;658&quot;: case &quot;770&quot;: case &quot;972&quot;: 
+                    return {&quot;color&quot;: &quot;#60ca60&quot;, &quot;fillColor&quot;: &quot;#60ca60&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;659&quot;: case &quot;873&quot;: case &quot;907&quot;: 
+                    return {&quot;color&quot;: &quot;#98d83e&quot;, &quot;fillColor&quot;: &quot;#98d83e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;663&quot;: case &quot;1232&quot;: case &quot;1551&quot;: case &quot;1640&quot;: case &quot;1659&quot;: 
+                    return {&quot;color&quot;: &quot;#1f998a&quot;, &quot;fillColor&quot;: &quot;#1f998a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;665&quot;: case &quot;1268&quot;: case &quot;1435&quot;: case &quot;1554&quot;: 
+                    return {&quot;color&quot;: &quot;#42be71&quot;, &quot;fillColor&quot;: &quot;#42be71&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;667&quot;: case &quot;1101&quot;: 
+                    return {&quot;color&quot;: &quot;#7ad151&quot;, &quot;fillColor&quot;: &quot;#7ad151&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;688&quot;: case &quot;1167&quot;: 
+                    return {&quot;color&quot;: &quot;#20a386&quot;, &quot;fillColor&quot;: &quot;#20a386&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;690&quot;: case &quot;1160&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa287&quot;, &quot;fillColor&quot;: &quot;#1fa287&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;692&quot;: case &quot;1192&quot;: case &quot;1296&quot;: case &quot;1368&quot;: case &quot;1494&quot;: 
+                    return {&quot;color&quot;: &quot;#1f9e89&quot;, &quot;fillColor&quot;: &quot;#1f9e89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;694&quot;: case &quot;763&quot;: case &quot;768&quot;: case &quot;1433&quot;: 
+                    return {&quot;color&quot;: &quot;#21a585&quot;, &quot;fillColor&quot;: &quot;#21a585&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;695&quot;: 
+                    return {&quot;color&quot;: &quot;#44bf70&quot;, &quot;fillColor&quot;: &quot;#44bf70&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;696&quot;: case &quot;906&quot;: 
+                    return {&quot;color&quot;: &quot;#4ec36b&quot;, &quot;fillColor&quot;: &quot;#4ec36b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;697&quot;: case &quot;1468&quot;: 
+                    return {&quot;color&quot;: &quot;#5ac864&quot;, &quot;fillColor&quot;: &quot;#5ac864&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;698&quot;: 
+                    return {&quot;color&quot;: &quot;#75d054&quot;, &quot;fillColor&quot;: &quot;#75d054&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;700&quot;: case &quot;1403&quot;: case &quot;1622&quot;: 
+                    return {&quot;color&quot;: &quot;#35b779&quot;, &quot;fillColor&quot;: &quot;#35b779&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;703&quot;: 
+                    return {&quot;color&quot;: &quot;#65cb5e&quot;, &quot;fillColor&quot;: &quot;#65cb5e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;704&quot;: case &quot;1438&quot;: 
+                    return {&quot;color&quot;: &quot;#b0dd2f&quot;, &quot;fillColor&quot;: &quot;#b0dd2f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;727&quot;: case &quot;1195&quot;: 
+                    return {&quot;color&quot;: &quot;#27ad81&quot;, &quot;fillColor&quot;: &quot;#27ad81&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;728&quot;: case &quot;1194&quot;: 
+                    return {&quot;color&quot;: &quot;#28ae80&quot;, &quot;fillColor&quot;: &quot;#28ae80&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;735&quot;: 
+                    return {&quot;color&quot;: &quot;#40bd72&quot;, &quot;fillColor&quot;: &quot;#40bd72&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;736&quot;: case &quot;738&quot;: case &quot;1498&quot;: case &quot;1526&quot;: 
+                    return {&quot;color&quot;: &quot;#54c568&quot;, &quot;fillColor&quot;: &quot;#54c568&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;740&quot;: 
+                    return {&quot;color&quot;: &quot;#73d056&quot;, &quot;fillColor&quot;: &quot;#73d056&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;741&quot;: case &quot;838&quot;: 
+                    return {&quot;color&quot;: &quot;#89d548&quot;, &quot;fillColor&quot;: &quot;#89d548&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;771&quot;: case &quot;1036&quot;: 
+                    return {&quot;color&quot;: &quot;#84d44b&quot;, &quot;fillColor&quot;: &quot;#84d44b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;773&quot;: case &quot;806&quot;: case &quot;1527&quot;: 
+                    return {&quot;color&quot;: &quot;#9dd93b&quot;, &quot;fillColor&quot;: &quot;#9dd93b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;774&quot;: case &quot;775&quot;: 
+                    return {&quot;color&quot;: &quot;#c0df25&quot;, &quot;fillColor&quot;: &quot;#c0df25&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;804&quot;: 
+                    return {&quot;color&quot;: &quot;#58c765&quot;, &quot;fillColor&quot;: &quot;#58c765&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;807&quot;: case &quot;839&quot;: case &quot;874&quot;: case &quot;1070&quot;: 
+                    return {&quot;color&quot;: &quot;#bddf26&quot;, &quot;fillColor&quot;: &quot;#bddf26&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;808&quot;: case &quot;809&quot;: case &quot;1170&quot;: case &quot;1306&quot;: case &quot;1340&quot;: 
+                    return {&quot;color&quot;: &quot;#f1e51d&quot;, &quot;fillColor&quot;: &quot;#f1e51d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;810&quot;: case &quot;1007&quot;: case &quot;1407&quot;: 
+                    return {&quot;color&quot;: &quot;#efe51c&quot;, &quot;fillColor&quot;: &quot;#efe51c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;828&quot;: case &quot;865&quot;: case &quot;1154&quot;: case &quot;1164&quot;: case &quot;1220&quot;: case &quot;1521&quot;: 
+                    return {&quot;color&quot;: &quot;#2d708e&quot;, &quot;fillColor&quot;: &quot;#2d708e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;837&quot;: case &quot;1134&quot;: case &quot;1262&quot;: case &quot;1641&quot;: 
+                    return {&quot;color&quot;: &quot;#4ac16d&quot;, &quot;fillColor&quot;: &quot;#4ac16d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;840&quot;: case &quot;1071&quot;: case &quot;1137&quot;: case &quot;1339&quot;: case &quot;1470&quot;: 
+                    return {&quot;color&quot;: &quot;#e7e419&quot;, &quot;fillColor&quot;: &quot;#e7e419&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;841&quot;: case &quot;843&quot;: case &quot;876&quot;: case &quot;910&quot;: case &quot;943&quot;: case &quot;1375&quot;: 
+                    return {&quot;color&quot;: &quot;#fbe723&quot;, &quot;fillColor&quot;: &quot;#fbe723&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;842&quot;: case &quot;844&quot;: case &quot;877&quot;: case &quot;878&quot;: 
+                    return {&quot;color&quot;: &quot;#fde725&quot;, &quot;fillColor&quot;: &quot;#fde725&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;875&quot;: case &quot;1104&quot;: case &quot;1203&quot;: 
+                    return {&quot;color&quot;: &quot;#ece51b&quot;, &quot;fillColor&quot;: &quot;#ece51b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;902&quot;: case &quot;1199&quot;: case &quot;1297&quot;: case &quot;1331&quot;: 
+                    return {&quot;color&quot;: &quot;#1f978b&quot;, &quot;fillColor&quot;: &quot;#1f978b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;908&quot;: case &quot;1269&quot;: 
+                    return {&quot;color&quot;: &quot;#9bd93c&quot;, &quot;fillColor&quot;: &quot;#9bd93c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;909&quot;: 
+                    return {&quot;color&quot;: &quot;#eae51a&quot;, &quot;fillColor&quot;: &quot;#eae51a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;911&quot;: case &quot;975&quot;: 
+                    return {&quot;color&quot;: &quot;#f8e621&quot;, &quot;fillColor&quot;: &quot;#f8e621&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;929&quot;: case &quot;995&quot;: case &quot;1029&quot;: case &quot;1031&quot;: case &quot;1275&quot;: case &quot;1408&quot;: case &quot;1409&quot;: 
+                    return {&quot;color&quot;: &quot;#25838e&quot;, &quot;fillColor&quot;: &quot;#25838e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;937&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa188&quot;, &quot;fillColor&quot;: &quot;#1fa188&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;940&quot;: 
+                    return {&quot;color&quot;: &quot;#a2da37&quot;, &quot;fillColor&quot;: &quot;#a2da37&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;941&quot;: 
+                    return {&quot;color&quot;: &quot;#d8e219&quot;, &quot;fillColor&quot;: &quot;#d8e219&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;942&quot;: case &quot;1341&quot;: 
+                    return {&quot;color&quot;: &quot;#f4e61e&quot;, &quot;fillColor&quot;: &quot;#f4e61e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;973&quot;: 
+                    return {&quot;color&quot;: &quot;#a5db36&quot;, &quot;fillColor&quot;: &quot;#a5db36&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;974&quot;: case &quot;1006&quot;: 
+                    return {&quot;color&quot;: &quot;#d2e21b&quot;, &quot;fillColor&quot;: &quot;#d2e21b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1004&quot;: case &quot;1302&quot;: 
+                    return {&quot;color&quot;: &quot;#6ece58&quot;, &quot;fillColor&quot;: &quot;#6ece58&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1005&quot;: case &quot;1136&quot;: 
+                    return {&quot;color&quot;: &quot;#c2df23&quot;, &quot;fillColor&quot;: &quot;#c2df23&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1023&quot;: 
+                    return {&quot;color&quot;: &quot;#306a8e&quot;, &quot;fillColor&quot;: &quot;#306a8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1037&quot;: case &quot;1406&quot;: 
+                    return {&quot;color&quot;: &quot;#c8e020&quot;, &quot;fillColor&quot;: &quot;#c8e020&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1038&quot;: case &quot;1338&quot;: case &quot;1500&quot;: 
+                    return {&quot;color&quot;: &quot;#d0e11c&quot;, &quot;fillColor&quot;: &quot;#d0e11c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1067&quot;: case &quot;1228&quot;: case &quot;1234&quot;: 
+                    return {&quot;color&quot;: &quot;#3fbc73&quot;, &quot;fillColor&quot;: &quot;#3fbc73&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1068&quot;: case &quot;1499&quot;: 
+                    return {&quot;color&quot;: &quot;#93d741&quot;, &quot;fillColor&quot;: &quot;#93d741&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1091&quot;: case &quot;1093&quot;: case &quot;1200&quot;: case &quot;1342&quot;: 
+                    return {&quot;color&quot;: &quot;#20928c&quot;, &quot;fillColor&quot;: &quot;#20928c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1102&quot;: case &quot;1202&quot;: case &quot;1372&quot;: case &quot;1528&quot;: 
+                    return {&quot;color&quot;: &quot;#addc30&quot;, &quot;fillColor&quot;: &quot;#addc30&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1103&quot;: 
+                    return {&quot;color&quot;: &quot;#d5e21a&quot;, &quot;fillColor&quot;: &quot;#d5e21a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1131&quot;: 
+                    return {&quot;color&quot;: &quot;#2b758e&quot;, &quot;fillColor&quot;: &quot;#2b758e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1135&quot;: case &quot;1437&quot;: 
+                    return {&quot;color&quot;: &quot;#90d743&quot;, &quot;fillColor&quot;: &quot;#90d743&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1169&quot;: 
+                    return {&quot;color&quot;: &quot;#cae11f&quot;, &quot;fillColor&quot;: &quot;#cae11f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1201&quot;: 
+                    return {&quot;color&quot;: &quot;#56c667&quot;, &quot;fillColor&quot;: &quot;#56c667&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1236&quot;: case &quot;1439&quot;: 
+                    return {&quot;color&quot;: &quot;#e5e419&quot;, &quot;fillColor&quot;: &quot;#e5e419&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1237&quot;: case &quot;1374&quot;: 
+                    return {&quot;color&quot;: &quot;#f6e620&quot;, &quot;fillColor&quot;: &quot;#f6e620&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1271&quot;: 
+                    return {&quot;color&quot;: &quot;#dde318&quot;, &quot;fillColor&quot;: &quot;#dde318&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1299&quot;: case &quot;1344&quot;: 
+                    return {&quot;color&quot;: &quot;#21918c&quot;, &quot;fillColor&quot;: &quot;#21918c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1304&quot;: 
+                    return {&quot;color&quot;: &quot;#c5e021&quot;, &quot;fillColor&quot;: &quot;#c5e021&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1305&quot;: 
+                    return {&quot;color&quot;: &quot;#dfe318&quot;, &quot;fillColor&quot;: &quot;#dfe318&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1309&quot;: 
+                    return {&quot;color&quot;: &quot;#21908d&quot;, &quot;fillColor&quot;: &quot;#21908d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1316&quot;: case &quot;1351&quot;: case &quot;1474&quot;: case &quot;1475&quot;: case &quot;1476&quot;: case &quot;1503&quot;: case &quot;1504&quot;: case &quot;1506&quot;: case &quot;1532&quot;: case &quot;1558&quot;: case &quot;1580&quot;: case &quot;1670&quot;: 
+                    return {&quot;color&quot;: &quot;#460a5d&quot;, &quot;fillColor&quot;: &quot;#460a5d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1336&quot;: 
+                    return {&quot;color&quot;: &quot;#37b878&quot;, &quot;fillColor&quot;: &quot;#37b878&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1349&quot;: case &quot;1581&quot;: case &quot;1706&quot;: 
+                    return {&quot;color&quot;: &quot;#46075a&quot;, &quot;fillColor&quot;: &quot;#46075a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1350&quot;: case &quot;1708&quot;: 
+                    return {&quot;color&quot;: &quot;#450559&quot;, &quot;fillColor&quot;: &quot;#450559&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1352&quot;: case &quot;1480&quot;: case &quot;1560&quot;: case &quot;1609&quot;: case &quot;1629&quot;: case &quot;1654&quot;: case &quot;1660&quot;: case &quot;1684&quot;: case &quot;1685&quot;: case &quot;1688&quot;: 
+                    return {&quot;color&quot;: &quot;#471063&quot;, &quot;fillColor&quot;: &quot;#471063&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1371&quot;: case &quot;1497&quot;: case &quot;1576&quot;: 
+                    return {&quot;color&quot;: &quot;#38b977&quot;, &quot;fillColor&quot;: &quot;#38b977&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1373&quot;: 
+                    return {&quot;color&quot;: &quot;#dae319&quot;, &quot;fillColor&quot;: &quot;#dae319&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1383&quot;: case &quot;1505&quot;: case &quot;1677&quot;: case &quot;1696&quot;: case &quot;1714&quot;: 
+                    return {&quot;color&quot;: &quot;#46085c&quot;, &quot;fillColor&quot;: &quot;#46085c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1384&quot;: case &quot;1385&quot;: case &quot;1415&quot;: case &quot;1417&quot;: case &quot;1448&quot;: case &quot;1478&quot;: case &quot;1479&quot;: case &quot;1507&quot;: case &quot;1535&quot;: case &quot;1536&quot;: case &quot;1555&quot;: case &quot;1579&quot;: case &quot;1582&quot;: case &quot;1630&quot;: case &quot;1632&quot;: case &quot;1667&quot;: case &quot;1668&quot;: case &quot;1671&quot;: case &quot;1693&quot;: case &quot;1715&quot;: 
+                    return {&quot;color&quot;: &quot;#470d60&quot;, &quot;fillColor&quot;: &quot;#470d60&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1405&quot;: 
+                    return {&quot;color&quot;: &quot;#b8de29&quot;, &quot;fillColor&quot;: &quot;#b8de29&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1416&quot;: case &quot;1446&quot;: case &quot;1447&quot;: case &quot;1473&quot;: case &quot;1477&quot;: case &quot;1502&quot;: case &quot;1530&quot;: case &quot;1531&quot;: case &quot;1533&quot;: case &quot;1534&quot;: case &quot;1556&quot;: case &quot;1633&quot;: case &quot;1651&quot;: case &quot;1652&quot;: case &quot;1669&quot;: 
+                    return {&quot;color&quot;: &quot;#460b5e&quot;, &quot;fillColor&quot;: &quot;#460b5e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1434&quot;: case &quot;1552&quot;: case &quot;1600&quot;: 
+                    return {&quot;color&quot;: &quot;#32b67a&quot;, &quot;fillColor&quot;: &quot;#32b67a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1466&quot;: 
+                    return {&quot;color&quot;: &quot;#52c569&quot;, &quot;fillColor&quot;: &quot;#52c569&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1508&quot;: case &quot;1559&quot;: case &quot;1610&quot;: case &quot;1631&quot;: case &quot;1634&quot;: case &quot;1648&quot;: case &quot;1649&quot;: case &quot;1650&quot;: case &quot;1653&quot;: case &quot;1666&quot;: case &quot;1672&quot;: case &quot;1680&quot;: case &quot;1683&quot;: case &quot;1686&quot;: case &quot;1687&quot;: 
+                    return {&quot;color&quot;: &quot;#470e61&quot;, &quot;fillColor&quot;: &quot;#470e61&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1523&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa088&quot;, &quot;fillColor&quot;: &quot;#1fa088&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1524&quot;: 
+                    return {&quot;color&quot;: &quot;#24aa83&quot;, &quot;fillColor&quot;: &quot;#24aa83&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1557&quot;: case &quot;1707&quot;: 
+                    return {&quot;color&quot;: &quot;#450457&quot;, &quot;fillColor&quot;: &quot;#450457&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1681&quot;: case &quot;1682&quot;: 
+                    return {&quot;color&quot;: &quot;#440256&quot;, &quot;fillColor&quot;: &quot;#440256&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1694&quot;: case &quot;1695&quot;: 
+                    return {&quot;color&quot;: &quot;#440154&quot;, &quot;fillColor&quot;: &quot;#440154&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                default:
+                    return {&quot;color&quot;: &quot;#472f7d&quot;, &quot;fillColor&quot;: &quot;#472f7d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+            }
+        }
+        function geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_highlighter(feature) {
+            switch(feature.id) {
+                default:
+                    return {&quot;fillOpacity&quot;: 0.75};
+            }
+        }
+        function geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_pointToLayer(feature, latlng) {
+            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};
+            
+            let style = geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_styler(feature)
+            Object.assign(opts, style)
+            
+            return new L.CircleMarker(latlng, opts)
+        }
+
+        function geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_onEachFeature(feature, layer) {
+            layer.on({
+                mouseout: function(e) {
+                    if(typeof e.target.setStyle === &quot;function&quot;){
+                            geo_json_a0fdb53e50b4f9567369b5a8868aa4e0.resetStyle(e.target);
+                    }
+                },
+                mouseover: function(e) {
+                    if(typeof e.target.setStyle === &quot;function&quot;){
+                        const highlightStyle = geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_highlighter(e.target.feature)
+                        e.target.setStyle(highlightStyle);
+                    }
+                },
+            });
+        };
+        var geo_json_a0fdb53e50b4f9567369b5a8868aa4e0 = L.geoJson(null, {
+                onEachFeature: geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_onEachFeature,
+            
+                style: geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_styler,
+                pointToLayer: geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_pointToLayer,
+        });
+
+        function geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_add (data) {
+            geo_json_a0fdb53e50b4f9567369b5a8868aa4e0
+                .addData(data);
+        }
+            geo_json_a0fdb53e50b4f9567369b5a8868aa4e0_add({&quot;bbox&quot;: [-54.16680605885, -31.33347245684999, -44.666806096849996, -21.666805828849988], &quot;features&quot;: [{&quot;bbox&quot;: [-51.33347273685, -21.83347249484999, -51.16680607085, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-51.33347273685, -21.666805828849988], [-51.33347273685, -21.83347249484999], [-51.16680607085, -21.83347249484999], [-51.16680607085, -21.666805828849988], [-51.33347273685, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481668&quot;, &quot;deme_index&quot;: 0, &quot;deme_size&quot;: 68.0, &quot;dummy&quot;: 17.0, &quot;mig_east&quot;: 0.0010735293626785278, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0011617647409439087, &quot;mig_west&quot;: 0.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-51.16680607085, -21.83347249484999, 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[-51.00013940485, -31.166805790849985], [-51.16680607085, -31.166805790849985]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;1748&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#424186&quot;, &quot;deme_index&quot;: 1748, &quot;deme_size&quot;: 204.0, &quot;dummy&quot;: 3324.0, &quot;mig_east&quot;: 0.0009509803652763367, &quot;mig_north&quot;: 0.0007941176295280457, &quot;mig_south&quot;: 0.0, &quot;mig_west&quot;: 0.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-51.00013940485, -31.33347245684999, -50.83347273885, -31.166805790849985], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-51.00013940485, -31.166805790849985], [-51.00013940485, -31.33347245684999], [-50.83347273885, -31.33347245684999], [-50.83347273885, -31.166805790849985], [-51.00013940485, -31.166805790849985]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;1749&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#433e85&quot;, &quot;deme_index&quot;: 1749, &quot;deme_size&quot;: 194.0, &quot;dummy&quot;: 3325.0, &quot;mig_east&quot;: 0.0, &quot;mig_north&quot;: 0.0007731958627700806, &quot;mig_south&quot;: 0.0, &quot;mig_west&quot;: 0.001051546335220337}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});
+
+        
+    
+    geo_json_a0fdb53e50b4f9567369b5a8868aa4e0.bindTooltip(
+    function(layer){
+    let div = L.DomUtil.create('div');
+    
+    let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;
+    let fields = [&quot;deme_size&quot;, &quot;mig_north&quot;, &quot;mig_east&quot;, &quot;mig_south&quot;, &quot;mig_west&quot;, &quot;deme_index&quot;];
+    let aliases = [&quot;deme_size&quot;, &quot;mig_north&quot;, &quot;mig_east&quot;, &quot;mig_south&quot;, &quot;mig_west&quot;, &quot;deme_index&quot;];
+    let table = '<table>' +
+        String(
+        fields.map(
+        (v,i)=>
+        `<tr>
+            <th>${aliases[i]}</th>
+            
+            <td>${handleObject(layer.feature.properties[v])}</td>
+        </tr>`).join(''))
+    +'</table>';
+    div.innerHTML=table;
+    
+    return div
+    }
+    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});
+                     
+    
+            geo_json_a0fdb53e50b4f9567369b5a8868aa4e0.addTo(map_1f0f824c5d2c9c179a3ff9573b795959);
+        
+    
+    var color_map_9019bc3c6e573d9cc35d038464ef0e8f = {};
+
+    
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.color = d3.scale.threshold()
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+    
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.x = d3.scale.linear()
+              .domain([14.0, 1000.0])
+              .range([0, 450 - 50]);
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.legend = L.control({position: 'topright'});
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.legend.addTo(map_1f0f824c5d2c9c179a3ff9573b795959);
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.xAxis = d3.svg.axis()
+        .scale(color_map_9019bc3c6e573d9cc35d038464ef0e8f.x)
+        .orient(&quot;top&quot;)
+        .tickSize(1)
+        .tickValues([14.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 114.53333333333333, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 215.06666666666666, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 315.6, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 416.1333333333333, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 516.6666666666667, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 617.2, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 717.7333333333333, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 818.2666666666667, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 918.8, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.svg = d3.select(&quot;.legend.leaflet-control&quot;).append(&quot;svg&quot;)
+        .attr(&quot;id&quot;, 'legend')
+        .attr(&quot;width&quot;, 450)
+        .attr(&quot;height&quot;, 40);
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.g = color_map_9019bc3c6e573d9cc35d038464ef0e8f.svg.append(&quot;g&quot;)
+        .attr(&quot;class&quot;, &quot;key&quot;)
+        .attr(&quot;transform&quot;, &quot;translate(25,16)&quot;);
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.g.selectAll(&quot;rect&quot;)
+        .data(color_map_9019bc3c6e573d9cc35d038464ef0e8f.color.range().map(function(d, i) {
+          return {
+            x0: i ? color_map_9019bc3c6e573d9cc35d038464ef0e8f.x(color_map_9019bc3c6e573d9cc35d038464ef0e8f.color.domain()[i - 1]) : color_map_9019bc3c6e573d9cc35d038464ef0e8f.x.range()[0],
+            x1: i < color_map_9019bc3c6e573d9cc35d038464ef0e8f.color.domain().length ? color_map_9019bc3c6e573d9cc35d038464ef0e8f.x(color_map_9019bc3c6e573d9cc35d038464ef0e8f.color.domain()[i]) : color_map_9019bc3c6e573d9cc35d038464ef0e8f.x.range()[1],
+            z: d
+          };
+        }))
+      .enter().append(&quot;rect&quot;)
+        .attr(&quot;height&quot;, 40 - 30)
+        .attr(&quot;x&quot;, function(d) { return d.x0; })
+        .attr(&quot;width&quot;, function(d) { return d.x1 - d.x0; })
+        .style(&quot;fill&quot;, function(d) { return d.z; });
+
+    color_map_9019bc3c6e573d9cc35d038464ef0e8f.g.call(color_map_9019bc3c6e573d9cc35d038464ef0e8f.xAxis).append(&quot;text&quot;)
+        .attr(&quot;class&quot;, &quot;caption&quot;)
+        .attr(&quot;y&quot;, 21)
+        .text(&quot;deme_size&quot;);
+</script>
+</html>" style="position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;" allowfullscreen="" webkitallowfullscreen="" mozallowfullscreen=""></iframe></div></div>
+</div>
+</div>
+</section>
+</section>
+<section id="simulate-genetic-data" class="level3">
+<h3 class="anchored" data-anchor-id="simulate-genetic-data">5. Simulate genetic data</h3>
+<p>Before simulating this demography, we need to create a sample dictionary that translates the empirical sampling localities to the model’s deme indices and maps those to the number of samples to take from each deme. By default, this function sets the number of individuals to sample from each deme to the number of empirical localities in that deme. The <code>coords_to_sample_dict()</code> function also returns two other dictionaries that are not used in this example, so we’ll ignore them.</p>
+<div id="sample-dict" class="cell" data-execution_count="12">
+<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a>sample_dict, _, _ <span class="op">=</span> sp.coords_to_sample_dict(r, locs)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>Now we get to simulate! The first task is to simulate the ancestry of the samples using the coalescent. All of the hard work is done through <code>msprime</code>’s <code>sim_ancestry()</code> function, for which <code>spaceprime</code> provides a convenience wrapper. This function returns a <a href="https://tskit.dev/tskit/docs/stable/python-api.html#trees-and-tree-sequences">tskit TreeSequence</a>, which “represents a sequence of correlated evolutionary trees along a genome” and is an incredibly powerful and compact data representation for population genomic analyses. The minimum number of arguments required for this function are the sample dictionary and the demographic model. If you need to overlay mutations, you need to supply the sequence length. Notice the lack of mutations in the table. We’ll set <code>record_provenance</code> to False to decrease the memory overhead of storing a bunch of metadata about the simulation.</p>
+<p>This step may take a minute or so to run.</p>
+<div id="simulate" class="cell" data-execution_count="13">
+<div class="sourceCode cell-code" id="cb17"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>sim <span class="op">=</span> sp.sim_ancestry(samples<span class="op">=</span>sample_dict, demography<span class="op">=</span>demo, sequence_length<span class="op">=</span><span class="fl">1e5</span>, record_provenance<span class="op">=</span><span class="va">False</span>, random_seed<span class="op">=</span><span class="dv">42</span>)</span>
+<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb17-3"><a href="#cb17-3" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(sim)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-stdout">
+<pre><code>╔═══════════════════════════╗
+║TreeSequence               ║
+╠═══════════════╤═══════════╣
+║Trees          │          1║
+╟───────────────┼───────────╢
+║Sequence Length│     100000║
+╟───────────────┼───────────╢
+║Time Units     │generations║
+╟───────────────┼───────────╢
+║Sample Nodes   │        344║
+╟───────────────┼───────────╢
+║Total Size     │  205.8 KiB║
+╚═══════════════╧═══════════╝
+╔═══════════╤════╤═════════╤════════════╗
+║Table      │Rows│Size     │Has Metadata║
+╠═══════════╪════╪═════════╪════════════╣
+║Edges      │ 686│ 21.4 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Individuals│ 172│  4.7 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Migrations │   0│  8 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Mutations  │   0│ 16 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Nodes      │ 687│ 18.8 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Populations│3481│155.4 KiB│         Yes║
+╟───────────┼────┼─────────┼────────────╢
+║Provenances│   0│ 16 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Sites      │   0│ 16 Bytes│          No║
+╚═══════════╧════╧═════════╧════════════╝
+</code></pre>
+</div>
+</div>
+<p>We’ll take a peak at a single tree from the TreeSequence object to see what it looks like. The <code>draw_svg()</code> method plots trees from the TreeSequence object. Here, I selected a single tree and removed the node labels because there are tons of nodes that crowd the plot and we’re only interested in the tree structure.</p>
+<div id="cell-draw-tree" class="cell" data-execution_count="14">
+<div class="sourceCode cell-code" id="cb19"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a>first_tree <span class="op">=</span> sim.first()</span>
+<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a>node_labels <span class="op">=</span> {node.<span class="bu">id</span>: <span class="st">""</span> <span class="cf">for</span> node <span class="kw">in</span> sim.nodes()}</span>
+<span id="cb19-3"><a href="#cb19-3" aria-hidden="true" tabindex="-1"></a>first_tree.draw_svg(y_axis<span class="op">=</span><span class="va">True</span>, size<span class="op">=</span>(<span class="dv">600</span>, <span class="dv">400</span>), node_labels<span class="op">=</span>node_labels)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-display" data-execution_count="10">
+<div>
+<figure class="figure">
+<p><img src="index_files/figure-html/draw-tree-output-1.svg" id="draw-tree" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<p>Overlaying mutations after simulating ancestry isn’t necessary for calculating genetic summary statistics on a TreeSequence, but it is necessary if you would like to compare your simulations with empirical data that are represented as a table of genotypes rather than a TreeSequence. The <code>sim_mutations()</code> function overlays mutations on the TreeSequence object returned by <code>sim_ancestry()</code> and requires the mutation rate. The mutation rate is the number of mutations per base pair per generation. For this example, we’ll use a mutation rate of 1e-10 so we don’t overcrowd the tree sequence visualization. You can see from the table that the tree sequence has some mutations!</p>
+<div id="mutations" class="cell" data-execution_count="15">
+<div class="sourceCode cell-code" id="cb20"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a>sim <span class="op">=</span> sp.sim_mutations(sim, rate<span class="op">=</span><span class="fl">1e-10</span>, random_seed<span class="op">=</span><span class="dv">490</span>)</span>
+<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(sim)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-stdout">
+<pre><code>╔═══════════════════════════╗
+║TreeSequence               ║
+╠═══════════════╤═══════════╣
+║Trees          │          1║
+╟───────────────┼───────────╢
+║Sequence Length│     100000║
+╟───────────────┼───────────╢
+║Time Units     │generations║
+╟───────────────┼───────────╢
+║Sample Nodes   │        344║
+╟───────────────┼───────────╢
+║Total Size     │  209.4 KiB║
+╚═══════════════╧═══════════╝
+╔═══════════╤════╤═════════╤════════════╗
+║Table      │Rows│Size     │Has Metadata║
+╠═══════════╪════╪═════════╪════════════╣
+║Edges      │ 686│ 21.4 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Individuals│ 172│  4.7 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Migrations │   0│  8 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Mutations  │  48│  1.8 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Nodes      │ 687│ 18.8 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Populations│3481│155.4 KiB│         Yes║
+╟───────────┼────┼─────────┼────────────╢
+║Provenances│   1│717 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Sites      │  48│  1.2 KiB│          No║
+╚═══════════╧════╧═════════╧════════════╝
+</code></pre>
+</div>
+</div>
+<p>And now for the tree. The red X’s represent mutations on the tree, with their ID numbers next to them.</p>
+<div id="cell-draw-mutations" class="cell" data-execution_count="16">
+<div class="sourceCode cell-code" id="cb22"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a>first_tree_mut <span class="op">=</span> sim.first()</span>
+<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a>node_labels <span class="op">=</span> {node.<span class="bu">id</span>: <span class="st">""</span> <span class="cf">for</span> node <span class="kw">in</span> sim.nodes()}</span>
+<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a>first_tree_mut.draw_svg(y_axis<span class="op">=</span><span class="va">True</span>, size<span class="op">=</span>(<span class="dv">600</span>, <span class="dv">400</span>), node_labels<span class="op">=</span>node_labels)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-display" data-execution_count="12">
+<div>
+<figure class="figure">
+<p><img src="index_files/figure-html/draw-mutations-output-1.svg" id="draw-mutations" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<p>From here, you have a few options. You can:</p>
+<ul>
+<li>Use the <code>analysis</code> module to calculate genetic summary statistics on the TreeSequence object. For more on the <code>analysis</code> module, see the <a href="">analysis module documentation</a>.<br>
+</li>
+<li>Save the TreeSequence to use later or analyze on a platform like <a href="https://tskit.dev/tskit/docs/stable/introduction.html">tskit</a> with <code>sim.dump(file/path/to/write/to.trees)</code>.<br>
+</li>
+<li>Convert the TreeSequence with mutations to a genotype matrix for use in a program like <a href="https://scikit-allel.readthedocs.io/en/stable/">scikit-allel</a> with <code>sim.genotype_matrix()</code>. For more information on this function, see the <a href="https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.genotype_matrix">tskit documentation</a>.<br>
+</li>
+<li>Export the TreeSequence with mutations to a VCF file using <code>sim.write_vcf</code>. For more information on how to use this function, see the <a href="https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.write_vcf">tskit documentation</a>.</li>
+</ul>
+<div class="callout callout-style-default callout-warning callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+TODO
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>add a link to the analysis module documentation when it’s ready.</p>
+</div>
+</div>
+</section>
+</section>
+<section id="report-issues" class="level2">
+<h2 class="anchored" data-anchor-id="report-issues">Report Issues</h2>
+<p><a href="https://github.com/connor-french/spaceprime/issues" class="uri">https://github.com/connor-french/spaceprime/issues</a></p>
+</section>
+<section id="contributing" class="level2">
+<h2 class="anchored" data-anchor-id="contributing">Contributing</h2>
+<p>We love contributions! Please see the <a href="./contributing.html">Contributing Guide</a> for more information.</p>
+<p>Please note that this project is released with a <a href="https://github.com/connor-french/spaceprime/blob/main/CODE_OF_CONDUCT.md">Contributor Code of Conduct</a>. By participating in this project you agree to abide by its terms.</p>
+
+
+</section>
+
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diff --git a/overview.html b/overview.html
new file mode 100644
index 0000000..0324ba4
--- /dev/null
+++ b/overview.html
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+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>overview – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
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+</style>
+
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+<script src="site_libs/clipboard/clipboard.min.js"></script>
+<script src="site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="site_libs/quarto-search/fuse.min.js"></script>
+<script src="site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="./">
+<script src="site_libs/quarto-html/quarto.js"></script>
+<script src="site_libs/quarto-html/popper.min.js"></script>
+<script src="site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="site_libs/quarto-html/anchor.min.js"></script>
+<link href="site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
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+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
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+
+
+</head>
+
+<body class="nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="./index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="./reference/index.html"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="./transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="./spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="./cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+<!-- margin-sidebar -->
+    
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+
+
+
+</main> <!-- /main -->
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+<section id="spaceprime.anc_to_deme_dict" class="level1">
+<h1>anc_to_deme_dict</h1>
+<p><code>anc_to_deme_dict(anc_pops, deme_dict)</code></p>
+<p>Converts the ancestral population assignments of demes into a dictionary mapping ancestral population IDs to deme indices.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 9%">
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+<col style="width: 68%">
+<col style="width: 8%">
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+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
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+<tr class="odd">
+<td><code>anc_pops</code></td>
+<td>np.ndarray</td>
+<td>An array containing the ancestral population assignments of all demes across the landscape.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>deme_dict</code></td>
+<td>Dict[int, int]</td>
+<td>A dictionary mapping deme indices to the number of individuals being sampled from each deme.</td>
+<td><em>required</em></td>
+</tr>
+</tbody>
+</table>
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+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Dict[int, List[int]]</td>
+<td>A dictionary mapping each ancestral population ID to the range of assigned deme indices.</td>
+</tr>
+</tbody>
+</table>
+
+
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diff --git a/reference/calc_migration_matrix.html b/reference/calc_migration_matrix.html
new file mode 100644
index 0000000..4e13e06
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+++ b/reference/calc_migration_matrix.html
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/sim_ancestry.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">sim_ancestry</span></a>
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+<!-- margin-sidebar -->
+    
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="spaceprime.calc_migration_matrix" class="level1">
+<h1>calc_migration_matrix</h1>
+<p><code>calc_migration_matrix(demes, rate, scale=True)</code></p>
+<p>Calculates a migration matrix based on deme sizes and a global migration rate. The migration rate can be scaled based on population size or set as a constant.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 7%">
+<col style="width: 10%">
+<col style="width: 70%">
+<col style="width: 10%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>demes</code></td>
+<td>np.ndarray</td>
+<td>The 2D numpy array representing the deme sizes.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>rate</code></td>
+<td>float</td>
+<td>The migration rate.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>scale</code></td>
+<td>bool</td>
+<td>Whether to scale the migration rate based on population size. Default is True.</td>
+<td><code>True</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>np.ndarray</td>
+<td>The migration matrix as a 2D numpy array.</td>
+</tr>
+</tbody>
+</table>
+
+
+</section>
+</section>
+
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+      </a>          
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+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/calc_sumstats.html b/reference/calc_sumstats.html
new file mode 100644
index 0000000..9e8afbb
--- /dev/null
+++ b/reference/calc_sumstats.html
@@ -0,0 +1,861 @@
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+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
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+<title>calc_sumstats – spaceprime</title>
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+
+<section id="spaceprime.calc_sumstats" class="level1">
+<h1>calc_sumstats</h1>
+<p><code>calc_sumstats(ac, coords_dict, anc_demes_dict=None, ac_demes=None, ac_anc=None, between_anc_pop_sumstats=False, return_df=False, precision=6)</code></p>
+<p>Calculates a suite of genetic summary statistics on allele counts matrices generated by <code>filter_gt</code> or otherwise generated through scikit-allel. The required input is an allele counts matrix for all individuals/demes, and a dictionary mapping deme IDs to their coordinates, generated by <code>coords_to_deme_dict</code>. Optional inputs are dictionaries mapping ancestral population IDs to their constituent demes (<code>anc_demes_dict</code>), an dictionary of allele counts matrices for each deme (<code>ac_demes</code>), and dictionary of allele counts matrices for each ancestral population (<code>ac_anc</code>).</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 11%">
+<col style="width: 4%">
+<col style="width: 78%">
+<col style="width: 4%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>ac</code></td>
+<td>np.ndarray</td>
+<td>An allele counts matrix for all individuals/demes.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>coords_dict</code></td>
+<td>dict</td>
+<td>A dictionary mapping deme IDs to their coordinates, generated by [coords_to_deme_dict][utilities.coords_to_deme_dict].</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>anc_demes_dict</code></td>
+<td>dict</td>
+<td>A dictionary mapping ancestral population IDs to their constituent demes. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>ac_demes</code></td>
+<td>dict</td>
+<td>A dictionary mapping deme IDs to their allele counts matrices. Necessary if you want to calculate Fst or Dxy between demes. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="odd">
+<td><code>ac_anc</code></td>
+<td>dict</td>
+<td>A dictionary mapping ancestral population IDs to their allel counts matrices. If provided, summary statistics are calculated within ancestral populations and not among them. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>between_anc_pop_sumstats</code></td>
+<td>bool</td>
+<td>Whether to calculate Fst or Dxy between ancestral populations. Defaults to False.</td>
+<td><code>False</code></td>
+</tr>
+<tr class="odd">
+<td><code>return_df</code></td>
+<td>bool</td>
+<td>Whether to return the summary statistics as a pandas DataFrame. Defaults to False.</td>
+<td><code>False</code></td>
+</tr>
+<tr class="even">
+<td><code>precision</code></td>
+<td>int</td>
+<td>The number of decimal places to round the summary statistics to. Defaults to 6.</td>
+<td><code>6</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>dict</td>
+<td>A dictionary of summary statistics.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>This function calculates the following summary statistics, either species-wide or per ancestral population, if provided: - Site Frequency Spectrum Hill numbers (q1 and q2), corrected for the number of sites - Pi (nucleotide diversity) - Tajima’s D - Pairwise Dxy - If <code>between_anc_pop_sumstats</code> is True, also calculates pairwise Dxy and Hudson’s FST between ancestral populations - Pairwise Hudson’s FST - If <code>between_anc_pop_sumstats</code> is True, also calculates pairwise Dxy and Hudson’s FST between ancestral populations - Isolation-by-distance slope and R2 - Moran’s I</p>
+
+
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\ No newline at end of file
diff --git a/reference/coords_to_deme_dict.html b/reference/coords_to_deme_dict.html
new file mode 100644
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+
+
+
+
+<section id="spaceprime.coords_to_deme_dict" class="level1">
+<h1>coords_to_deme_dict</h1>
+<p><code>coords_to_deme_dict(raster, coordinates)</code></p>
+<p>Finds the cells a given set of coordinates belong to in a raster and returns a dictionary mapping the cell indices to the centroid coordinates of those cells. Because the cells correspond with demes in the 2D stepping stone models, the cell indices are considered deme indices. The coordinates typically correspond to empirical data that the simulations need to be sampled from.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 10%">
+<col style="width: 40%">
+<col style="width: 40%">
+<col style="width: 8%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>raster</code></td>
+<td>rasterio.DatasetReader</td>
+<td>The raster data as a rasterio DatasetReader object.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>coordinates</code></td>
+<td>Union[List[Tuple[float, float]], gpd.GeoDataFrame]</td>
+<td>A list of (x, y) coordinates or a geopandas GeoDataFrame.</td>
+<td><em>required</em></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 28%">
+<col style="width: 71%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Dict[int, List[float]]</td>
+<td>A dictionary mapping deme indices to their corresponding coordinates.</td>
+</tr>
+</tbody>
+</table>
+
+
+</section>
+</section>
+
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diff --git a/reference/coords_to_sample_dict.html b/reference/coords_to_sample_dict.html
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--- /dev/null
+++ b/reference/coords_to_sample_dict.html
@@ -0,0 +1,838 @@
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+
+<section id="spaceprime.coords_to_sample_dict" class="level1">
+<h1>coords_to_sample_dict</h1>
+<p><code>coords_to_sample_dict(raster, coordinates, individual_ids=None, vcf_path=None)</code></p>
+<p>Convert sample coordinates to sample dictionaries for simulation and analysis. Can optionally include empirical data, which is accepted as a path to a VCF file.</p>
+<p>This function takes a raster, a list of coordinates, and optional individual IDs and VCF path. It masks the raster with the given coordinates, retrieves the cell IDs for each individual’s locality, and returns two dictionaries: a sample dictionary containing the number of individuals to sample from the simulation, and a sample dictionary containing the range of individual indices for each cell ID. The first dictionary is used to sample individuals from the simulation, and the second dictionary is used to calculate genetic summary statistics from the sampled individuals.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 10%">
+<col style="width: 33%">
+<col style="width: 48%">
+<col style="width: 7%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>raster</code></td>
+<td>Union[np.ndarray, rasterio.DatasetReader]</td>
+<td>The raster data as a numpy array or rasterio DatasetReader object.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>coordinates</code></td>
+<td>Union[List[Tuple[float, float]], gpd.GeoDataFrame]</td>
+<td>A list of (x, y) coordinates or a geopandas GeoDataFrame.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>individual_ids</code></td>
+<td>Optional[List[str]]</td>
+<td>A list of individual IDs corresponding to those in the VCF file, by default None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>vcf_path</code></td>
+<td>Optional[str]</td>
+<td>The path to the VCF file, by default None.</td>
+<td><code>None</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
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+<col style="width: 21%">
+<col style="width: 78%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Tuple[Dict[int, int], Dict[int, np.ndarray], Optional[Dict[int, np.ndarray]]]</td>
+<td>A tuple containing two or three dictionaries. The first dictionary contains the number of individuals to sample from the simulation for each cell ID. The second dictionary contains the indices of individuals for each cell ID. The third, optional dictionary contains the indices of individuals in the VCF file for each cell ID.</td>
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+              timer = throttle = false;
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+      }
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+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
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+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
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+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+      <a href="../reference/coords_to_deme_dict.html" class="pagination-link" aria-label="coords_to_deme_dict">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">coords_to_deme_dict</span>
+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../reference/create_raster.html" class="pagination-link" aria-label="create_raster">
+        <span class="nav-page-text">create_raster</span> <i class="bi bi-arrow-right-short"></i>
+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/create_raster.html b/reference/create_raster.html
new file mode 100644
index 0000000..93ed1aa
--- /dev/null
+++ b/reference/create_raster.html
@@ -0,0 +1,837 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>create_raster – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
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+}
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+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<link href="../reference/mtp_thresh_from_coords.html" rel="next">
+<link href="../reference/coords_to_sample_dict.html" rel="prev">
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
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+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
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+}</script>
+
+
+</head>
+
+<body class="nav-sidebar floating nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link active" href="../reference/index.html" aria-current="page"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="../transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="../spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="../cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+  <nav class="quarto-secondary-nav">
+    <div class="container-fluid d-flex">
+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+        <i class="bi bi-layout-text-sidebar-reverse"></i>
+      </button>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../reference/anc_to_deme_dict.html">Utilities</a></li><li class="breadcrumb-item"><a href="../reference/create_raster.html">create_raster</a></li></ol></nav>
+        <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
+        </a>
+    </div>
+  </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto">
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Reference</span></a>
+  </div>
+</li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
+ <span class="menu-text">Utilities</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/anc_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">anc_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_migration_matrix.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_migration_matrix</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/create_raster.html" class="sidebar-item-text sidebar-link active">
+ <span class="menu-text">create_raster</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/mtp_thresh_from_coords.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">mtp_thresh_from_coords</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/raster_to_demes.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">raster_to_demes</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/split_landscape_by_pop.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">split_landscape_by_pop</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true">
+ <span class="menu-text">Demography</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.add_ancestral_populations.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.add_ancestral_populations</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.stepping_stone_2d.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.stepping_stone_2d</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" role="navigation" aria-expanded="true">
+ <span class="menu-text">Plotting</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_landscape.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">plot_landscape</span></a>
+  </div>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_model.html" class="sidebar-item-text sidebar-link">
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+  </li>
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+  <div class="sidebar-item-container"> 
+  <a href="../reference/sim_ancestry.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">sim_ancestry</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
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+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="spaceprime.create_raster" class="level1">
+<h1>create_raster</h1>
+<p><code>create_raster(data, reference_raster, out_folder, out_prefix)</code></p>
+<p>Creates a raster dataset from a numpy array and reference raster and writes it to a new GeoTiff file. The new raster dataset will have the same dimensions, crs, and transform as the reference raster.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 15%">
+<col style="width: 18%">
+<col style="width: 56%">
+<col style="width: 9%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>data</code></td>
+<td>np.ndarray</td>
+<td>The numpy array containing the data you want for the raster.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>reference_raster</code></td>
+<td>rasterio.DatasetReader</td>
+<td>The reference rasterio DatasetReader object.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>out_folder</code></td>
+<td>str</td>
+<td>The output folder location where the new raster dataset will be saved.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>out_prefix</code></td>
+<td>str</td>
+<td>The prefix for the output file name.</td>
+<td><em>required</em></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 10%">
+<col style="width: 90%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>None</td>
+<td>The function writes the new raster dataset to the output file location</td>
+</tr>
+</tbody>
+</table>
+
+
+</section>
+</section>
+
+</main> <!-- /main -->
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+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../reference/mtp_thresh_from_coords.html" class="pagination-link" aria-label="mtp_thresh_from_coords">
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+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/filter_gt.html b/reference/filter_gt.html
new file mode 100644
index 0000000..09c4388
--- /dev/null
+++ b/reference/filter_gt.html
@@ -0,0 +1,855 @@
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+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
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+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>filter_gt – spaceprime</title>
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+<section id="spaceprime.filter_gt" class="level1">
+<h1>filter_gt</h1>
+<p><code>filter_gt(gt, deme_dict_inds=None, deme_dict_anc=None, missing_data_perc=0, r2_thresh=0.1, filter_monomorphic=True, filter_singletons=True)</code></p>
+<p>Filter genotype matrices output by ts.genotype_matrix() to filter out monomorphic sites, loci in linkage disequilibrium, and recreate missing data patterns common to empirical genotype data. Returns the genotype matrix and allele counts matrix for the filtered loci, and optionally allele counts matrices for demes and ancestral populations.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 15%">
+<col style="width: 8%">
+<col style="width: 68%">
+<col style="width: 8%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>gt</code></td>
+<td>np.ndarray</td>
+<td>The genotype matrix.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>deme_dict_inds</code></td>
+<td>dict</td>
+<td>A dictionary containing the indices of individuals in each deme. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="odd">
+<td><code>deme_dict_anc</code></td>
+<td>dict</td>
+<td>A dictionary containing the indices of individuals in each ancestral population. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>missing_data_perc</code></td>
+<td>float</td>
+<td>The percentage of missing data allowed. Defaults to 0.</td>
+<td><code>0</code></td>
+</tr>
+<tr class="odd">
+<td><code>r2_thresh</code></td>
+<td>float</td>
+<td>The threshold for linkage disequilibrium. Defaults to 0.1.</td>
+<td><code>0.1</code></td>
+</tr>
+<tr class="even">
+<td><code>filter_monomorphic</code></td>
+<td>bool</td>
+<td>Whether to filter out monomorphic sites, keeping only segregating sites. Defaults to True.</td>
+<td><code>True</code></td>
+</tr>
+<tr class="odd">
+<td><code>filter_singletons</code></td>
+<td>bool</td>
+<td>Whether to filter out singletons. Defaults to True.</td>
+<td><code>True</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 37%">
+<col style="width: 62%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Tuple[allel.GenotypeArray, allel.AlleleCountsArray, Optional[Dict[str, allel.AlleleCountsArray]], Optional[Dict[str, allel.AlleleCountsArray]]]</td>
+<td>A tuple containing the filtered genotype matrix, the allele counts matrix, a dictionary of allele counts matrices for demes (if deme_dict_inds is provided), and a dictionary of allele counts matrices for ancestral populations (if deme_dict_anc is provided).</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>This function uses a random mask to simulate missing data in the genotype matrix. For reproducibility it’s advised to set a <code>np.random.seed()</code> before calling this function.</p>
+
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+      try { href = new URL(href).hash; } catch {}
+      const id = href.replace(/^#\/?/, "");
+      const note = window.document.getElementById(id);
+      if (note) {
+        return note.innerHTML;
+      } else {
+        return "";
+      }
+    });
+  }
+  const xrefs = window.document.querySelectorAll('a.quarto-xref');
+  const processXRef = (id, note) => {
+    // Strip column container classes
+    const stripColumnClz = (el) => {
+      el.classList.remove("page-full", "page-columns");
+      if (el.children) {
+        for (const child of el.children) {
+          stripColumnClz(child);
+        }
+      }
+    }
+    stripColumnClz(note)
+    if (id === null || id.startsWith('sec-')) {
+      // Special case sections, only their first couple elements
+      const container = document.createElement("div");
+      if (note.children && note.children.length > 2) {
+        container.appendChild(note.children[0].cloneNode(true));
+        for (let i = 1; i < note.children.length; i++) {
+          const child = note.children[i];
+          if (child.tagName === "P" && child.innerText === "") {
+            continue;
+          } else {
+            container.appendChild(child.cloneNode(true));
+            break;
+          }
+        }
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(container);
+        }
+        return container.innerHTML
+      } else {
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(note);
+        }
+        return note.innerHTML;
+      }
+    } else {
+      // Remove any anchor links if they are present
+      const anchorLink = note.querySelector('a.anchorjs-link');
+      if (anchorLink) {
+        anchorLink.remove();
+      }
+      if (window.Quarto?.typesetMath) {
+        window.Quarto.typesetMath(note);
+      }
+      // TODO in 1.5, we should make sure this works without a callout special case
+      if (note.classList.contains("callout")) {
+        return note.outerHTML;
+      } else {
+        return note.innerHTML;
+      }
+    }
+  }
+  for (var i=0; i<xrefs.length; i++) {
+    const xref = xrefs[i];
+    tippyHover(xref, undefined, function(instance) {
+      instance.disable();
+      let url = xref.getAttribute('href');
+      let hash = undefined; 
+      if (url.startsWith('#')) {
+        hash = url;
+      } else {
+        try { hash = new URL(url).hash; } catch {}
+      }
+      if (hash) {
+        const id = hash.replace(/^#\/?/, "");
+        const note = window.document.getElementById(id);
+        if (note !== null) {
+          try {
+            const html = processXRef(id, note.cloneNode(true));
+            instance.setContent(html);
+          } finally {
+            instance.enable();
+            instance.show();
+          }
+        } else {
+          // See if we can fetch this
+          fetch(url.split('#')[0])
+          .then(res => res.text())
+          .then(html => {
+            const parser = new DOMParser();
+            const htmlDoc = parser.parseFromString(html, "text/html");
+            const note = htmlDoc.getElementById(id);
+            if (note !== null) {
+              const html = processXRef(id, note);
+              instance.setContent(html);
+            } 
+          }).finally(() => {
+            instance.enable();
+            instance.show();
+          });
+        }
+      } else {
+        // See if we can fetch a full url (with no hash to target)
+        // This is a special case and we should probably do some content thinning / targeting
+        fetch(url)
+        .then(res => res.text())
+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
+          if (note !== null) {
+            // This should only happen for chapter cross references
+            // (since there is no id in the URL)
+            // remove the first header
+            if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
+              note.children[0].remove();
+            }
+            const html = processXRef(null, note);
+            instance.setContent(html);
+          } 
+        }).finally(() => {
+          instance.enable();
+          instance.show();
+        });
+      }
+    }, function(instance) {
+    });
+  }
+      let selectedAnnoteEl;
+      const selectorForAnnotation = ( cell, annotation) => {
+        let cellAttr = 'data-code-cell="' + cell + '"';
+        let lineAttr = 'data-code-annotation="' +  annotation + '"';
+        const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
+        return selector;
+      }
+      const selectCodeLines = (annoteEl) => {
+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
+            const el = window.document.getElementById(lineIds[0]);
+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            div.style.left = 0;
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
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+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+      <a href="../reference/calc_sumstats.html" class="pagination-link" aria-label="calc_sumstats">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">calc_sumstats</span>
+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/index.html b/reference/index.html
new file mode 100644
index 0000000..f1560f0
--- /dev/null
+++ b/reference/index.html
@@ -0,0 +1,877 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>index – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<link href="../reference/anc_to_deme_dict.html" rel="next">
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 50,
+  "keyboard-shortcut": [
+    "f",
+    "/",
+    "s"
+  ],
+  "show-item-context": false,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+
+
+</head>
+
+<body class="nav-sidebar floating nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link active" href="../reference/index.html" aria-current="page"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="../transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="../spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="../cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+  <nav class="quarto-secondary-nav">
+    <div class="container-fluid d-flex">
+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+        <i class="bi bi-layout-text-sidebar-reverse"></i>
+      </button>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../reference/index.html">Reference</a></li></ol></nav>
+        <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
+        </a>
+    </div>
+  </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto">
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/index.html" class="sidebar-item-text sidebar-link active">
+ <span class="menu-text">Reference</span></a>
+  </div>
+</li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
+ <span class="menu-text">Utilities</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/anc_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">anc_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_migration_matrix.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_migration_matrix</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/create_raster.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">create_raster</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/mtp_thresh_from_coords.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">mtp_thresh_from_coords</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/raster_to_demes.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">raster_to_demes</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/split_landscape_by_pop.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">split_landscape_by_pop</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true">
+ <span class="menu-text">Demography</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.add_ancestral_populations.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.add_ancestral_populations</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.stepping_stone_2d.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.stepping_stone_2d</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" role="navigation" aria-expanded="true">
+ <span class="menu-text">Plotting</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_landscape.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">plot_landscape</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_model.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">plot_model</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_timeseries.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">plot_timeseries</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-4" role="navigation" aria-expanded="true">
+ <span class="menu-text">Simulation</span></a>
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+ <span class="menu-text">sim_ancestry</span></a>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/sim_mutations.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">sim_mutations</span></a>
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+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="reference" class="level1 doc doc-index">
+<h1 class="doc doc-index">Reference</h1>
+<section id="utilities" class="level2">
+<h2 class="anchored" data-anchor-id="utilities">Utilities</h2>
+<p>Functions for processing data.</p>
+<table class="caption-top table">
+<tbody>
+<tr class="odd">
+<td><a href="../reference/anc_to_deme_dict.html#spaceprime.anc_to_deme_dict">anc_to_deme_dict</a></td>
+<td>Converts the ancestral population assignments of demes into a dictionary mapping ancestral population IDs to deme indices.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/calc_migration_matrix.html#spaceprime.calc_migration_matrix">calc_migration_matrix</a></td>
+<td>Calculates a migration matrix based on deme sizes and a global migration rate. The migration rate can be scaled based on population size or set as a constant.</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/coords_to_deme_dict.html#spaceprime.coords_to_deme_dict">coords_to_deme_dict</a></td>
+<td>Finds the cells a given set of coordinates belong to in a raster and returns a dictionary mapping the cell indices to the centroid coordinates of those cells.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/coords_to_sample_dict.html#spaceprime.coords_to_sample_dict">coords_to_sample_dict</a></td>
+<td>Convert sample coordinates to sample dictionaries for simulation and analysis. Can optionally include empirical data, which is accepted as a path to a VCF file.</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/create_raster.html#spaceprime.create_raster">create_raster</a></td>
+<td>Creates a raster dataset from a numpy array and reference raster and writes it to a new GeoTiff file.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/mtp_thresh_from_coords.html#spaceprime.mtp_thresh_from_coords">mtp_thresh_from_coords</a></td>
+<td>This function takes the coordinates of empirical sampling localities, finds which raster cells they belong to, extracts the values of the first layer for those localities, and finds the minimum value.</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/raster_to_demes.html#spaceprime.raster_to_demes">raster_to_demes</a></td>
+<td>Converts a raster to a 2D np.ndarray of deme sizes using either linear, threshold, or sigmoid transformation functions. For more detail about transformation functions, see <a href="transformation-functions.qmd">this brief overview</a>.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/split_landscape_by_pop.html#spaceprime.split_landscape_by_pop">split_landscape_by_pop</a></td>
+<td>Uses nearest-neighbor interpolation to classify a landscape raster based on the ancestral population assigned to sampled individuals.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="demography" class="level2">
+<h2 class="anchored" data-anchor-id="demography">Demography</h2>
+<p>Methods to create and manipulate demographic models.</p>
+<table class="caption-top table">
+<tbody>
+<tr class="odd">
+<td><a href="../reference/spDemography.html#spaceprime.spDemography">spDemography</a></td>
+<td></td>
+</tr>
+<tr class="even">
+<td><a href="../reference/spDemography.add_ancestral_populations.html#spaceprime.spDemography.add_ancestral_populations">spDemography.add_ancestral_populations</a></td>
+<td>Adds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/spDemography.stepping_stone_2d.html#spaceprime.spDemography.stepping_stone_2d">spDemography.stepping_stone_2d</a></td>
+<td>Create a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="plotting" class="level2">
+<h2 class="anchored" data-anchor-id="plotting">Plotting</h2>
+<p>Functions for visualizing data.</p>
+<table class="caption-top table">
+<tbody>
+<tr class="odd">
+<td><a href="../reference/plot_landscape.html#spaceprime.plot_landscape">plot_landscape</a></td>
+<td>Plots a static map of a transformed landscape at the timestep of your choice.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/plot_model.html#spaceprime.plot_model">plot_model</a></td>
+<td>Plots the demes and migration rates for a given timestep as an interactive map.</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/plot_timeseries.html#spaceprime.plot_timeseries">plot_timeseries</a></td>
+<td>Plots the total number of individuals across the landscape across time.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="simulation" class="level2">
+<h2 class="anchored" data-anchor-id="simulation">Simulation</h2>
+<p>Thin wrappers around msprime simulation functions.</p>
+<table class="caption-top table">
+<tbody>
+<tr class="odd">
+<td><a href="../reference/sim_ancestry.html#spaceprime.sim_ancestry">sim_ancestry</a></td>
+<td>A thin wrapper around msprime.sim_ancestry.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/sim_mutations.html#spaceprime.sim_mutations">sim_mutations</a></td>
+<td>A thin wrapper around msprime.sim_mutations.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="analysis" class="level2">
+<h2 class="anchored" data-anchor-id="analysis">Analysis</h2>
+<p>Functions for analyzing data.</p>
+<table class="caption-top table">
+<tbody>
+<tr class="odd">
+<td><a href="../reference/calc_sumstats.html#spaceprime.calc_sumstats">calc_sumstats</a></td>
+<td>Calculates a suite of genetic summary statistics on allele counts matrices generated by <code>filter_gt</code> or otherwise generated through scikit-allel.</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/filter_gt.html#spaceprime.filter_gt">filter_gt</a></td>
+<td>Filter genotype matrices output by ts.genotype_matrix() to filter out monomorphic sites, loci in linkage disequilibrium, and recreate missing data patterns common to empirical genotype data.</td>
+</tr>
+</tbody>
+</table>
+
+
+</section>
+</section>
+
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+<section id="spaceprime.mtp_thresh_from_coords" class="level1">
+<h1>mtp_thresh_from_coords</h1>
+<p><code>mtp_thresh_from_coords(raster, coordinates)</code></p>
+<p>This function takes the coordinates of empirical sampling localities, finds which raster cells they belong to, extracts the values of the first layer for those localities, and finds the minimum value. This value is the maximum threshold value to determine a presence vs absence in a threshold transformation. If the threshold is set any higher, empirical sampling localities will not be sampled in the simulations.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 6%">
+<col style="width: 25%">
+<col style="width: 62%">
+<col style="width: 5%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>raster</code></td>
+<td>rasterio.DatasetReader</td>
+<td>The rasterio DatasetReader object representing the raster data containing the suitability values.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>coordinates</code></td>
+<td>Union[List[Tuple[float, float]], gpd.GeoDataFrame]</td>
+<td>The longitude, latitude coordinates of the empirical sampling localities as a list of coordinate pair tuples or a geopandas GeoDataFrame.</td>
+<td><em>required</em></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
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+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>float</td>
+<td>The maximum threshold value to determine a presence vs absence in a threshold transformation.</td>
+</tr>
+</tbody>
+</table>
+</section>
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+<h2 class="anchored" data-anchor-id="raises">Raises</h2>
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+<col style="width: 11%">
+<col style="width: 88%">
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+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>TypeError</td>
+<td>If the coordinates input is not a list, geopandas GeoDataFrame, or pandas DataFrame.</td>
+</tr>
+</tbody>
+</table>
+
+
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+    const clipboardModal = new window.ClipboardJS('.code-copy-button[data-in-quarto-modal]', {
+      text: getTextToCopy,
+      container: window.document.getElementById('quarto-embedded-source-code-modal')
+    });
+    clipboardModal.on('success', onCopySuccess);
+  }
+    var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
+    var mailtoRegex = new RegExp(/^mailto:/);
+      var filterRegex = new RegExp('/' + window.location.host + '/');
+    var isInternal = (href) => {
+        return filterRegex.test(href) || localhostRegex.test(href) || mailtoRegex.test(href);
+    }
+    // Inspect non-navigation links and adorn them if external
+ 	var links = window.document.querySelectorAll('a[href]:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external):not([aria-hidden]):not(.dropdown-item):not(.quarto-navigation-tool):not(.about-link)');
+    for (var i=0; i<links.length; i++) {
+      const link = links[i];
+      if (!isInternal(link.href)) {
+        // undo the damage that might have been done by quarto-nav.js in the case of
+        // links that we want to consider external
+        if (link.dataset.originalHref !== undefined) {
+          link.href = link.dataset.originalHref;
+        }
+      }
+    }
+  function tippyHover(el, contentFn, onTriggerFn, onUntriggerFn) {
+    const config = {
+      allowHTML: true,
+      maxWidth: 500,
+      delay: 100,
+      arrow: false,
+      appendTo: function(el) {
+          return el.parentElement;
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+      interactive: true,
+      interactiveBorder: 10,
+      theme: 'quarto',
+      placement: 'bottom-start',
+    };
+    if (contentFn) {
+      config.content = contentFn;
+    }
+    if (onTriggerFn) {
+      config.onTrigger = onTriggerFn;
+    }
+    if (onUntriggerFn) {
+      config.onUntrigger = onUntriggerFn;
+    }
+    window.tippy(el, config); 
+  }
+  const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
+  for (var i=0; i<noterefs.length; i++) {
+    const ref = noterefs[i];
+    tippyHover(ref, function() {
+      // use id or data attribute instead here
+      let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
+      try { href = new URL(href).hash; } catch {}
+      const id = href.replace(/^#\/?/, "");
+      const note = window.document.getElementById(id);
+      if (note) {
+        return note.innerHTML;
+      } else {
+        return "";
+      }
+    });
+  }
+  const xrefs = window.document.querySelectorAll('a.quarto-xref');
+  const processXRef = (id, note) => {
+    // Strip column container classes
+    const stripColumnClz = (el) => {
+      el.classList.remove("page-full", "page-columns");
+      if (el.children) {
+        for (const child of el.children) {
+          stripColumnClz(child);
+        }
+      }
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+    stripColumnClz(note)
+    if (id === null || id.startsWith('sec-')) {
+      // Special case sections, only their first couple elements
+      const container = document.createElement("div");
+      if (note.children && note.children.length > 2) {
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+          const child = note.children[i];
+          if (child.tagName === "P" && child.innerText === "") {
+            continue;
+          } else {
+            container.appendChild(child.cloneNode(true));
+            break;
+          }
+        }
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(container);
+        }
+        return container.innerHTML
+      } else {
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(note);
+        }
+        return note.innerHTML;
+      }
+    } else {
+      // Remove any anchor links if they are present
+      const anchorLink = note.querySelector('a.anchorjs-link');
+      if (anchorLink) {
+        anchorLink.remove();
+      }
+      if (window.Quarto?.typesetMath) {
+        window.Quarto.typesetMath(note);
+      }
+      // TODO in 1.5, we should make sure this works without a callout special case
+      if (note.classList.contains("callout")) {
+        return note.outerHTML;
+      } else {
+        return note.innerHTML;
+      }
+    }
+  }
+  for (var i=0; i<xrefs.length; i++) {
+    const xref = xrefs[i];
+    tippyHover(xref, undefined, function(instance) {
+      instance.disable();
+      let url = xref.getAttribute('href');
+      let hash = undefined; 
+      if (url.startsWith('#')) {
+        hash = url;
+      } else {
+        try { hash = new URL(url).hash; } catch {}
+      }
+      if (hash) {
+        const id = hash.replace(/^#\/?/, "");
+        const note = window.document.getElementById(id);
+        if (note !== null) {
+          try {
+            const html = processXRef(id, note.cloneNode(true));
+            instance.setContent(html);
+          } finally {
+            instance.enable();
+            instance.show();
+          }
+        } else {
+          // See if we can fetch this
+          fetch(url.split('#')[0])
+          .then(res => res.text())
+          .then(html => {
+            const parser = new DOMParser();
+            const htmlDoc = parser.parseFromString(html, "text/html");
+            const note = htmlDoc.getElementById(id);
+            if (note !== null) {
+              const html = processXRef(id, note);
+              instance.setContent(html);
+            } 
+          }).finally(() => {
+            instance.enable();
+            instance.show();
+          });
+        }
+      } else {
+        // See if we can fetch a full url (with no hash to target)
+        // This is a special case and we should probably do some content thinning / targeting
+        fetch(url)
+        .then(res => res.text())
+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
+          if (note !== null) {
+            // This should only happen for chapter cross references
+            // (since there is no id in the URL)
+            // remove the first header
+            if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
+              note.children[0].remove();
+            }
+            const html = processXRef(null, note);
+            instance.setContent(html);
+          } 
+        }).finally(() => {
+          instance.enable();
+          instance.show();
+        });
+      }
+    }, function(instance) {
+    });
+  }
+      let selectedAnnoteEl;
+      const selectorForAnnotation = ( cell, annotation) => {
+        let cellAttr = 'data-code-cell="' + cell + '"';
+        let lineAttr = 'data-code-annotation="' +  annotation + '"';
+        const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
+        return selector;
+      }
+      const selectCodeLines = (annoteEl) => {
+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
+            const el = window.document.getElementById(lineIds[0]);
+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            div.style.left = 0;
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+      <a href="../reference/create_raster.html" class="pagination-link" aria-label="create_raster">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">create_raster</span>
+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../reference/raster_to_demes.html" class="pagination-link" aria-label="raster_to_demes">
+        <span class="nav-page-text">raster_to_demes</span> <i class="bi bi-arrow-right-short"></i>
+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/plot_landscape.html b/reference/plot_landscape.html
new file mode 100644
index 0000000..dd172b2
--- /dev/null
+++ b/reference/plot_landscape.html
@@ -0,0 +1,849 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>plot_landscape – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<link href="../reference/plot_model.html" rel="next">
+<link href="../reference/spDemography.stepping_stone_2d.html" rel="prev">
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 50,
+  "keyboard-shortcut": [
+    "f",
+    "/",
+    "s"
+  ],
+  "show-item-context": false,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+
+
+</head>
+
+<body class="nav-sidebar floating nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link active" href="../reference/index.html" aria-current="page"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="../transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="../spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="../cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+  <nav class="quarto-secondary-nav">
+    <div class="container-fluid d-flex">
+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+        <i class="bi bi-layout-text-sidebar-reverse"></i>
+      </button>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../reference/plot_landscape.html">Plotting</a></li><li class="breadcrumb-item"><a href="../reference/plot_landscape.html">plot_landscape</a></li></ol></nav>
+        <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
+        </a>
+    </div>
+  </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto">
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Reference</span></a>
+  </div>
+</li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
+ <span class="menu-text">Utilities</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/anc_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">anc_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_migration_matrix.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_migration_matrix</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/create_raster.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">create_raster</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/mtp_thresh_from_coords.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">mtp_thresh_from_coords</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/raster_to_demes.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">raster_to_demes</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/split_landscape_by_pop.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">split_landscape_by_pop</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true">
+ <span class="menu-text">Demography</span></a>
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+
+
+
+
+<section id="spaceprime.plot_landscape" class="level1">
+<h1>plot_landscape</h1>
+<p><code>plot_landscape(demo, raster, timestep, cmap='viridis', legend=True, basemap=False)</code></p>
+<p>Plots a static map of a transformed landscape at the timestep of your choice.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 9%">
+<col style="width: 19%">
+<col style="width: 61%">
+<col style="width: 10%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>demo</code></td>
+<td>spaceprime.spDemography</td>
+<td>The demographic model to plot.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>raster</code></td>
+<td>rasterio.DatasetReader</td>
+<td>The raster dataset used to create the demes matrix(es).</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>timestep</code></td>
+<td>int</td>
+<td>The timestep to plot.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>cmap</code></td>
+<td>str</td>
+<td>The colormap to use. Defaults to “viridis”.</td>
+<td><code>'viridis'</code></td>
+</tr>
+<tr class="odd">
+<td><code>legend</code></td>
+<td>bool</td>
+<td>Whether to show the colorbar legend. Defaults to True.</td>
+<td><code>True</code></td>
+</tr>
+<tr class="even">
+<td><code>basemap</code></td>
+<td>bool</td>
+<td>Whether to add a basemap. Requires an internet connection. Defaults to False.</td>
+<td><code>False</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>matplotlib.axes.Axes</td>
+<td>A plot of the transformed landscape.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="note" class="level2">
+<h2 class="anchored" data-anchor-id="note">Note</h2>
+<p>Setting <code>basemap=True</code> requires an internet connection to download the basemap tiles. It may take some time to load the tiles depending on your internet speed. Since this function returns a <code>matplotlib</code> axes object, you can further modify the plot with the <code>matplotlib</code> library.</p>
+
+
+</section>
+</section>
+
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+
+
+
+
+<section id="spaceprime.plot_model" class="level1">
+<h1>plot_model</h1>
+<p><code>plot_model(demo, raster, timestep, cmap='viridis', legend=True, tiles='CartoDB positron')</code></p>
+<p>Plots the demes and migration rates for a given timestep as an interactive map.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 9%">
+<col style="width: 20%">
+<col style="width: 52%">
+<col style="width: 17%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>demo</code></td>
+<td>spaceprime.spDemography</td>
+<td>The demographic model to plot.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>raster</code></td>
+<td>rasterio.DatasetReader</td>
+<td>The raster dataset used to create the demes matrix(es).</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>timestep</code></td>
+<td>int</td>
+<td>The index of the desired timestep to plot.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>cmap</code></td>
+<td>str</td>
+<td>The colormap to use for the deme sizes. Defaults to ‘viridis’.</td>
+<td><code>'viridis'</code></td>
+</tr>
+<tr class="odd">
+<td><code>legend</code></td>
+<td>bool</td>
+<td>Whether to show the color legend. Defaults to True.</td>
+<td><code>True</code></td>
+</tr>
+<tr class="even">
+<td><code>tiles</code></td>
+<td>str</td>
+<td>The basemap tiles to use. Defaults to “CartoDB positron”.</td>
+<td><code>'CartoDB positron'</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 25%">
+<col style="width: 74%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>folium.folium.Map</td>
+<td>An interactive plot of the demes and migration rates.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="example" class="level2">
+<h2 class="anchored" data-anchor-id="example">Example</h2>
+<p>raster = rasterio.open(“path/to/raster.tif”) # Plot the model at timestep 1 plot_model(demo, raster, 1)</p>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>Since this function returns a <code>folium</code> map object, you can further modify the map or save it to an HTML file with the <code>folium</code> library.</p>
+
+
+</section>
+</section>
+
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+  if (window.document.getElementById('quarto-embedded-source-code-modal')) {
+    // For code content inside modals, clipBoardJS needs to be initialized with a container option
+    // TODO: Check when it could be a function (https://github.com/zenorocha/clipboard.js/issues/860)
+    const clipboardModal = new window.ClipboardJS('.code-copy-button[data-in-quarto-modal]', {
+      text: getTextToCopy,
+      container: window.document.getElementById('quarto-embedded-source-code-modal')
+    });
+    clipboardModal.on('success', onCopySuccess);
+  }
+    var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
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+        if (window.Quarto?.typesetMath) {
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+      if (window.Quarto?.typesetMath) {
+        window.Quarto.typesetMath(note);
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+      // TODO in 1.5, we should make sure this works without a callout special case
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+        return note.outerHTML;
+      } else {
+        return note.innerHTML;
+      }
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+          .then(html => {
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+        // See if we can fetch a full url (with no hash to target)
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+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
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+      let selectedAnnoteEl;
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+        const doc = window.document;
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+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
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+              div.setAttribute("id", "code-annotation-line-highlight");
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+              parent.appendChild(div);
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+            div.style.height = height + 4 + "px";
+            div.style.left = 0;
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+              gutterDiv.style.position = 'absolute';
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+          selectedAnnoteEl = annoteEl;
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+      const unselectCodeLines = () => {
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+        selectedAnnoteEl = undefined;
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+        // Handle positioning of the toggle
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+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
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+              fn.apply(this, args);
+              timer = throttle = false;
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+        }
+      };
+    }
+      // Attach click handler to the DT
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+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
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+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+      <a href="../reference/plot_landscape.html" class="pagination-link" aria-label="plot_landscape">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">plot_landscape</span>
+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../reference/plot_timeseries.html" class="pagination-link" aria-label="plot_timeseries">
+        <span class="nav-page-text">plot_timeseries</span> <i class="bi bi-arrow-right-short"></i>
+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/plot_timeseries.html b/reference/plot_timeseries.html
new file mode 100644
index 0000000..7cb7efe
--- /dev/null
+++ b/reference/plot_timeseries.html
@@ -0,0 +1,827 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>plot_timeseries – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<link href="../reference/sim_ancestry.html" rel="next">
+<link href="../reference/plot_model.html" rel="prev">
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 50,
+  "keyboard-shortcut": [
+    "f",
+    "/",
+    "s"
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+  "show-item-context": false,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+
+
+</head>
+
+<body class="nav-sidebar floating nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link active" href="../reference/index.html" aria-current="page"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="../transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="../spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="../cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+  <nav class="quarto-secondary-nav">
+    <div class="container-fluid d-flex">
+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+        <i class="bi bi-layout-text-sidebar-reverse"></i>
+      </button>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../reference/plot_landscape.html">Plotting</a></li><li class="breadcrumb-item"><a href="../reference/plot_timeseries.html">plot_timeseries</a></li></ol></nav>
+        <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
+        </a>
+    </div>
+  </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto">
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Reference</span></a>
+  </div>
+</li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
+ <span class="menu-text">Utilities</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/anc_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">anc_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_migration_matrix.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_migration_matrix</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/create_raster.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">create_raster</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/mtp_thresh_from_coords.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">mtp_thresh_from_coords</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/raster_to_demes.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">raster_to_demes</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/split_landscape_by_pop.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">split_landscape_by_pop</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
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+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true">
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+ <span class="menu-text">spDemography</span></a>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.add_ancestral_populations.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.add_ancestral_populations</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.stepping_stone_2d.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.stepping_stone_2d</span></a>
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+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="spaceprime.plot_timeseries" class="level1">
+<h1>plot_timeseries</h1>
+<p><code>plot_timeseries(demo, times, units='')</code></p>
+<p>Plots the total number of individuals across the landscape across time.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 5%">
+<col style="width: 16%">
+<col style="width: 69%">
+<col style="width: 7%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>demo</code></td>
+<td>spaceprime.spDemography</td>
+<td>The demographic model to plot.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>times</code></td>
+<td>List[float]</td>
+<td>A list of times that each landscape timestep corresponds with. This can be in whatever unit you choose.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>units</code></td>
+<td>str</td>
+<td>The units of time the timesteps are specified in. Defaults to a blank string.</td>
+<td><code>''</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>tuple</td>
+<td>A tuple containing the figure and axes objects of the plot.</td>
+</tr>
+</tbody>
+</table>
+
+
+</section>
+</section>
+
+</main> <!-- /main -->
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+
+<section id="spaceprime.raster_to_demes" class="level1">
+<h1>raster_to_demes</h1>
+<p><code>raster_to_demes(raster, transformation='linear', max_local_size=1000, normalize=False, threshold=None, thresh_norm=False, inflection_point=0.5, slope=0.05)</code></p>
+<p>Converts a raster to a 2D np.ndarray of deme sizes using either linear, threshold, or sigmoid transformation functions. For more detail about transformation functions, see <a href="transformation-functions.qmd">this brief overview</a>. Raster data should be continuous and positive. This function was created with the idea of taking in habitat suitability rasters scaled from 0 to 1, where 0 is no suitability and 1 is the highest suitability. However, it is flexible enough to accommodate other continuous rasters that can be coaxed to a 0 to 1 scale with the operation <code>(data - np.min(data)) / (np.max(data) - np.min(data))</code> by setting the <code>normalize</code> flag to <code>True</code>.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 5%">
+<col style="width: 12%">
+<col style="width: 78%">
+<col style="width: 3%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>raster</code></td>
+<td>Union[np.ndarray, rasterio.DatasetReader]</td>
+<td>The input raster data. It can be a numpy array or a rasterio DatasetReader with one or more layers.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>transformation</code></td>
+<td>str</td>
+<td>The transformation function to be used. Options are “linear”, “threshold”, and “sigmoid”. Default is “linear”.</td>
+<td><code>'linear'</code></td>
+</tr>
+<tr class="odd">
+<td><code>max_local_size</code></td>
+<td>int</td>
+<td>The maximum local deme size. Default is 1000.</td>
+<td><code>1000</code></td>
+</tr>
+<tr class="even">
+<td><code>normalize</code></td>
+<td>bool</td>
+<td>Whether to normalize the raster data. Use if your data is not scaled from 0-1. Default is False.</td>
+<td><code>False</code></td>
+</tr>
+<tr class="odd">
+<td><code>threshold</code></td>
+<td>float</td>
+<td>The threshold value for the “threshold” transformation method. Default is None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>thresh_norm</code></td>
+<td>bool</td>
+<td>Whether to normalize the local deme size based on the average suitability above the threshold. This is useful when comparing thresholded simulations with linear or sigmoid simulations, to maintain similar landscape-wide population sizes across max_local_size values. Default is False.</td>
+<td><code>False</code></td>
+</tr>
+<tr class="odd">
+<td><code>inflection_point</code></td>
+<td>float</td>
+<td>The inflection point for the “sigmoid” transformation method. Default is 0.5.</td>
+<td><code>0.5</code></td>
+</tr>
+<tr class="even">
+<td><code>slope</code></td>
+<td>float</td>
+<td>The slope value for the “sigmoid” transformation method. Default is 0.05.</td>
+<td><code>0.05</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>np.ndarray</td>
+<td>An ndarray of deme sizes.</td>
+</tr>
+</tbody>
+</table>
+
+
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+      container: window.document.getElementById('quarto-embedded-source-code-modal')
+    });
+    clipboardModal.on('success', onCopySuccess);
+  }
+    var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
+    var mailtoRegex = new RegExp(/^mailto:/);
+      var filterRegex = new RegExp('/' + window.location.host + '/');
+    var isInternal = (href) => {
+        return filterRegex.test(href) || localhostRegex.test(href) || mailtoRegex.test(href);
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+    // Inspect non-navigation links and adorn them if external
+ 	var links = window.document.querySelectorAll('a[href]:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external):not([aria-hidden]):not(.dropdown-item):not(.quarto-navigation-tool):not(.about-link)');
+    for (var i=0; i<links.length; i++) {
+      const link = links[i];
+      if (!isInternal(link.href)) {
+        // undo the damage that might have been done by quarto-nav.js in the case of
+        // links that we want to consider external
+        if (link.dataset.originalHref !== undefined) {
+          link.href = link.dataset.originalHref;
+        }
+      }
+    }
+  function tippyHover(el, contentFn, onTriggerFn, onUntriggerFn) {
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+    if (onUntriggerFn) {
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+    }
+    window.tippy(el, config); 
+  }
+  const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
+  for (var i=0; i<noterefs.length; i++) {
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+    tippyHover(ref, function() {
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+      let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
+      try { href = new URL(href).hash; } catch {}
+      const id = href.replace(/^#\/?/, "");
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+      if (note) {
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+  const xrefs = window.document.querySelectorAll('a.quarto-xref');
+  const processXRef = (id, note) => {
+    // Strip column container classes
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+      el.classList.remove("page-full", "page-columns");
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+            break;
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+        }
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(container);
+        }
+        return container.innerHTML
+      } else {
+        if (window.Quarto?.typesetMath) {
+          window.Quarto.typesetMath(note);
+        }
+        return note.innerHTML;
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+      // Remove any anchor links if they are present
+      const anchorLink = note.querySelector('a.anchorjs-link');
+      if (anchorLink) {
+        anchorLink.remove();
+      }
+      if (window.Quarto?.typesetMath) {
+        window.Quarto.typesetMath(note);
+      }
+      // TODO in 1.5, we should make sure this works without a callout special case
+      if (note.classList.contains("callout")) {
+        return note.outerHTML;
+      } else {
+        return note.innerHTML;
+      }
+    }
+  }
+  for (var i=0; i<xrefs.length; i++) {
+    const xref = xrefs[i];
+    tippyHover(xref, undefined, function(instance) {
+      instance.disable();
+      let url = xref.getAttribute('href');
+      let hash = undefined; 
+      if (url.startsWith('#')) {
+        hash = url;
+      } else {
+        try { hash = new URL(url).hash; } catch {}
+      }
+      if (hash) {
+        const id = hash.replace(/^#\/?/, "");
+        const note = window.document.getElementById(id);
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+          try {
+            const html = processXRef(id, note.cloneNode(true));
+            instance.setContent(html);
+          } finally {
+            instance.enable();
+            instance.show();
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+          // See if we can fetch this
+          fetch(url.split('#')[0])
+          .then(res => res.text())
+          .then(html => {
+            const parser = new DOMParser();
+            const htmlDoc = parser.parseFromString(html, "text/html");
+            const note = htmlDoc.getElementById(id);
+            if (note !== null) {
+              const html = processXRef(id, note);
+              instance.setContent(html);
+            } 
+          }).finally(() => {
+            instance.enable();
+            instance.show();
+          });
+        }
+      } else {
+        // See if we can fetch a full url (with no hash to target)
+        // This is a special case and we should probably do some content thinning / targeting
+        fetch(url)
+        .then(res => res.text())
+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
+          if (note !== null) {
+            // This should only happen for chapter cross references
+            // (since there is no id in the URL)
+            // remove the first header
+            if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
+              note.children[0].remove();
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+            const html = processXRef(null, note);
+            instance.setContent(html);
+          } 
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+          instance.enable();
+          instance.show();
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+    }, function(instance) {
+    });
+  }
+      let selectedAnnoteEl;
+      const selectorForAnnotation = ( cell, annotation) => {
+        let cellAttr = 'data-code-cell="' + cell + '"';
+        let lineAttr = 'data-code-annotation="' +  annotation + '"';
+        const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
+        return selector;
+      }
+      const selectCodeLines = (annoteEl) => {
+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
+            const el = window.document.getElementById(lineIds[0]);
+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            div.style.left = 0;
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
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+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+      <a href="../reference/mtp_thresh_from_coords.html" class="pagination-link" aria-label="mtp_thresh_from_coords">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">mtp_thresh_from_coords</span>
+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../reference/split_landscape_by_pop.html" class="pagination-link" aria-label="split_landscape_by_pop">
+        <span class="nav-page-text">split_landscape_by_pop</span> <i class="bi bi-arrow-right-short"></i>
+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/sim_ancestry.html b/reference/sim_ancestry.html
new file mode 100644
index 0000000..8f51ba3
--- /dev/null
+++ b/reference/sim_ancestry.html
@@ -0,0 +1,845 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>sim_ancestry – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<link href="../reference/sim_mutations.html" rel="next">
+<link href="../reference/plot_timeseries.html" rel="prev">
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 50,
+  "keyboard-shortcut": [
+    "f",
+    "/",
+    "s"
+  ],
+  "show-item-context": false,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+
+
+</head>
+
+<body class="nav-sidebar floating nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link active" href="../reference/index.html" aria-current="page"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="../transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="../spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="../cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+  <nav class="quarto-secondary-nav">
+    <div class="container-fluid d-flex">
+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+        <i class="bi bi-layout-text-sidebar-reverse"></i>
+      </button>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../reference/sim_ancestry.html">Simulation</a></li><li class="breadcrumb-item"><a href="../reference/sim_ancestry.html">sim_ancestry</a></li></ol></nav>
+        <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
+        </a>
+    </div>
+  </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto">
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Reference</span></a>
+  </div>
+</li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
+ <span class="menu-text">Utilities</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/anc_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">anc_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_migration_matrix.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_migration_matrix</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/create_raster.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">create_raster</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/mtp_thresh_from_coords.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">mtp_thresh_from_coords</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/raster_to_demes.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">raster_to_demes</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/split_landscape_by_pop.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">split_landscape_by_pop</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
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+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true">
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+
+
+
+
+<section id="spaceprime.sim_ancestry" class="level1">
+<h1>sim_ancestry</h1>
+<p><code>sim_ancestry(*args, **kwargs)</code></p>
+<p>A thin wrapper around msprime.sim_ancestry.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>*args</code></td>
+<td>tuple</td>
+<td>Variable length argument list.</td>
+<td><code>()</code></td>
+</tr>
+<tr class="even">
+<td><code>**kwargs</code></td>
+<td>dict</td>
+<td>Arbitrary keyword arguments.</td>
+<td><code>{}</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 19%">
+<col style="width: 80%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Union[TreeSequence, Iterator[TreeSequence]]</td>
+<td>The TreeSequence object representing the results of the simulation if no replication is performed, or an iterator over the independent replicates simulated if the num_replicates parameter has been used.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>This function takes the same arguments as msprime.sim_ancestry and calls it directly, allowing users to use simulation functionality within the spaceprime namespace.</p>
+<p>See the msprime.sim_ancestry documentation for more information: See the msprime documentation for more information: https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_ancestry</p>
+</section>
+<section id="returns-1" class="level2">
+<h2 class="anchored" data-anchor-id="returns-1">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 19%">
+<col style="width: 80%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Union[TreeSequence, Iterator[TreeSequence]]</td>
+<td>The TreeSequence object representing the results of the simulation if no replication is performed, or an iterator over the independent replicates simulated if the num_replicates parameter has been used.</td>
+</tr>
+</tbody>
+</table>
+
+
+</section>
+</section>
+
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diff --git a/reference/sim_mutations.html b/reference/sim_mutations.html
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+
+<section id="spaceprime.sim_mutations" class="level1">
+<h1>sim_mutations</h1>
+<p><code>sim_mutations(*args, **kwargs)</code></p>
+<p>A thin wrapper around msprime.sim_mutations.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 17%">
+<col style="width: 45%">
+<col style="width: 21%">
+<col style="width: 15%">
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+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>*args</code></td>
+<td>Variable length argument list.</td>
+<td></td>
+<td><code>()</code></td>
+</tr>
+<tr class="even">
+<td><code>**kwargs</code></td>
+<td>Arbitrary keyword arguments.</td>
+<td></td>
+<td><code>{}</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 81%">
+<col style="width: 18%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>The result of msprime.sim_mutations with the provided arguments.</td>
+<td></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>This function takes the same arguments as msprime.sim_ancestry and calls it directly, allowing users to use simulation functionality within the spaceprime namespace.</p>
+<p>See the msprime.sim_mutations documentation for more information: https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_mutations</p>
+
+
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+<nav class="page-navigation">
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+      <a href="../reference/sim_ancestry.html" class="pagination-link" aria-label="sim_ancestry">
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+  <div class="nav-page nav-page-next">
+      <a href="../reference/calc_sumstats.html" class="pagination-link" aria-label="calc_sumstats">
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+      </a>
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+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/spDemography.add_ancestral_populations.html b/reference/spDemography.add_ancestral_populations.html
new file mode 100644
index 0000000..7ff34a2
--- /dev/null
+++ b/reference/spDemography.add_ancestral_populations.html
@@ -0,0 +1,878 @@
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+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
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+
+
+<section id="spaceprime.spDemography.add_ancestral_populations" class="level1">
+<h1>spDemography.add_ancestral_populations</h1>
+<p><code>spDemography.add_ancestral_populations(anc_sizes, merge_time, anc_id=None, anc_merge_times=None, anc_merge_sizes=None, migration_rate=None)</code></p>
+<p>Adds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 10%">
+<col style="width: 14%">
+<col style="width: 69%">
+<col style="width: 6%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>anc_sizes</code></td>
+<td>List[float]</td>
+<td>A list of ancestral population sizes.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>merge_time</code></td>
+<td>Union[float, int]</td>
+<td>The time at which all demes in the spatial simulation merge into one or more ancestral populations.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>anc_id</code></td>
+<td>Optional[np.ndarray]</td>
+<td>An array of ancestral population IDs- the output of [split_landscape_by_pop][utilities.split_landscape_by_pop]. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>anc_merge_times</code></td>
+<td>Optional[List[float]]</td>
+<td>A list of merge times for ancestral populations. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="odd">
+<td><code>anc_merge_sizes</code></td>
+<td>Optional[List[float]]</td>
+<td>A list of sizes for merged ancestral populations. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>migration_rate</code></td>
+<td>Optional[float]</td>
+<td>The symmetric migration rate between ancestral populations. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 24%">
+<col style="width: 75%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>msprime.Demography</td>
+<td>The demographic model with the added ancestral populations.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="raises" class="level2">
+<h2 class="anchored" data-anchor-id="raises">Raises</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 9%">
+<col style="width: 90%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>ValueError</td>
+<td>If the model already contains ancestral populations.</td>
+</tr>
+<tr class="even">
+<td>ValueError</td>
+<td>If the number of demes in the demographic model does not match the number of demes in the admixture ID raster.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>The function adds ancestral populations to the given demographic model. If <code>anc_id</code> is not provided, a single ancestral population is added with the initial size specified in <code>anc_sizes[0]</code>. If <code>anc_id</code> is provided, a new ancestral population is added for each admixture population, with sizes specified in <code>anc_sizes</code>. The demes in the simulation are then merged into their respective ancestral populations based on the values in <code>anc_id</code>. If <code>anc_merge_times</code> is provided, the ancestral populations are merged at the specified times. If <code>migration_rate</code> is provided, symmetric migration is allowed between ancestral populations.</p>
+
+
+</section>
+</section>
+
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+
+<section id="spaceprime.spDemography" class="level1">
+<h1>spDemography</h1>
+<p><code>spDemography(self, *args, **kwargs)</code></p>
+<section id="methods" class="level2">
+<h2 class="anchored" data-anchor-id="methods">Methods</h2>
+<table class="caption-top table">
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><a href="#spaceprime.spDemography.add_ancestral_populations">add_ancestral_populations</a></td>
+<td>Adds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.</td>
+</tr>
+<tr class="even">
+<td><a href="#spaceprime.spDemography.stepping_stone_2d">stepping_stone_2d</a></td>
+<td>Create a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.</td>
+</tr>
+</tbody>
+</table>
+<section id="spaceprime.spDemography.add_ancestral_populations" class="level3">
+<h3 class="anchored" data-anchor-id="spaceprime.spDemography.add_ancestral_populations">add_ancestral_populations</h3>
+<p><code>spDemography.add_ancestral_populations(anc_sizes, merge_time, anc_id=None, anc_merge_times=None, anc_merge_sizes=None, migration_rate=None)</code></p>
+<p>Adds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.</p>
+<section id="parameters" class="level4">
+<h4 class="anchored" data-anchor-id="parameters">Parameters</h4>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 10%">
+<col style="width: 14%">
+<col style="width: 69%">
+<col style="width: 6%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>anc_sizes</code></td>
+<td>List[float]</td>
+<td>A list of ancestral population sizes.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>merge_time</code></td>
+<td>Union[float, int]</td>
+<td>The time at which all demes in the spatial simulation merge into one or more ancestral populations.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>anc_id</code></td>
+<td>Optional[np.ndarray]</td>
+<td>An array of ancestral population IDs- the output of [split_landscape_by_pop][utilities.split_landscape_by_pop]. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>anc_merge_times</code></td>
+<td>Optional[List[float]]</td>
+<td>A list of merge times for ancestral populations. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="odd">
+<td><code>anc_merge_sizes</code></td>
+<td>Optional[List[float]]</td>
+<td>A list of sizes for merged ancestral populations. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+<tr class="even">
+<td><code>migration_rate</code></td>
+<td>Optional[float]</td>
+<td>The symmetric migration rate between ancestral populations. Defaults to None.</td>
+<td><code>None</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level4">
+<h4 class="anchored" data-anchor-id="returns">Returns</h4>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 24%">
+<col style="width: 75%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>msprime.Demography</td>
+<td>The demographic model with the added ancestral populations.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="raises" class="level4">
+<h4 class="anchored" data-anchor-id="raises">Raises</h4>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 9%">
+<col style="width: 90%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>ValueError</td>
+<td>If the model already contains ancestral populations.</td>
+</tr>
+<tr class="even">
+<td>ValueError</td>
+<td>If the number of demes in the demographic model does not match the number of demes in the admixture ID raster.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level4">
+<h4 class="anchored" data-anchor-id="notes">Notes</h4>
+<p>The function adds ancestral populations to the given demographic model. If <code>anc_id</code> is not provided, a single ancestral population is added with the initial size specified in <code>anc_sizes[0]</code>. If <code>anc_id</code> is provided, a new ancestral population is added for each admixture population, with sizes specified in <code>anc_sizes</code>. The demes in the simulation are then merged into their respective ancestral populations based on the values in <code>anc_id</code>. If <code>anc_merge_times</code> is provided, the ancestral populations are merged at the specified times. If <code>migration_rate</code> is provided, symmetric migration is allowed between ancestral populations.</p>
+</section>
+</section>
+<section id="spaceprime.spDemography.stepping_stone_2d" class="level3">
+<h3 class="anchored" data-anchor-id="spaceprime.spDemography.stepping_stone_2d">stepping_stone_2d</h3>
+<p><code>spDemography.stepping_stone_2d(d, rate, scale=True, timesteps=None)</code></p>
+<p>Create a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.</p>
+<section id="parameters-1" class="level4">
+<h4 class="anchored" data-anchor-id="parameters-1">Parameters</h4>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 3%">
+<col style="width: 8%">
+<col style="width: 84%">
+<col style="width: 3%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>d</code></td>
+<td>numpy.ndarray</td>
+<td>The demography matrix representing the population sizes.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>rate</code></td>
+<td>float or numpy.ndarray</td>
+<td>The migration rate(s) between populations. If a float, it represents a constant migration rate for all populations. If a numpy.ndarray, it represents a migration matrix with shape (T, N, N), where N is the total number of populations and T is the number of time steps - 1, if T &gt; 1.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>scale</code></td>
+<td>bool</td>
+<td>Whether to scale the migration rate matrix. Default is True.</td>
+<td><code>True</code></td>
+</tr>
+<tr class="even">
+<td><code>timesteps</code></td>
+<td>Union[int, List[int]]</td>
+<td>The list of timesteps representing the amount of time passing between each demographic event, in generations. If a single integer is provided, the function assumes that the time steps are equal.</td>
+<td><code>None</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns-1" class="level4">
+<h4 class="anchored" data-anchor-id="returns-1">Returns</h4>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 21%">
+<col style="width: 78%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>msprime.Demography</td>
+<td>The constructed 2d stepping stone model as an msprime.Demography object.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes-1" class="level4">
+<h4 class="anchored" data-anchor-id="notes-1">Notes</h4>
+<p>The demography matrix <code>d</code> should have shape (n, m) or (k, n, m), where n is the number of rows and m is the number of columns for a 2D array and k is the number of layers in a 3D array. The migration rate matrix <code>rate</code> should have shape (N, N), where N is the total number of populations. If there are multiple time steps of population size change, the <code>add_landscape_change</code> function is called to modify the model accordingly.</p>
+
+
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+
+<section id="spaceprime.spDemography.stepping_stone_2d" class="level1">
+<h1>spDemography.stepping_stone_2d</h1>
+<p><code>spDemography.stepping_stone_2d(d, rate, scale=True, timesteps=None)</code></p>
+<p>Create a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 3%">
+<col style="width: 8%">
+<col style="width: 84%">
+<col style="width: 3%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>d</code></td>
+<td>numpy.ndarray</td>
+<td>The demography matrix representing the population sizes.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>rate</code></td>
+<td>float or numpy.ndarray</td>
+<td>The migration rate(s) between populations. If a float, it represents a constant migration rate for all populations. If a numpy.ndarray, it represents a migration matrix with shape (T, N, N), where N is the total number of populations and T is the number of time steps - 1, if T &gt; 1.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>scale</code></td>
+<td>bool</td>
+<td>Whether to scale the migration rate matrix. Default is True.</td>
+<td><code>True</code></td>
+</tr>
+<tr class="even">
+<td><code>timesteps</code></td>
+<td>Union[int, List[int]]</td>
+<td>The list of timesteps representing the amount of time passing between each demographic event, in generations. If a single integer is provided, the function assumes that the time steps are equal.</td>
+<td><code>None</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 21%">
+<col style="width: 78%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>msprime.Demography</td>
+<td>The constructed 2d stepping stone model as an msprime.Demography object.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+<p>The demography matrix <code>d</code> should have shape (n, m) or (k, n, m), where n is the number of rows and m is the number of columns for a 2D array and k is the number of layers in a 3D array. The migration rate matrix <code>rate</code> should have shape (N, N), where N is the total number of populations. If there are multiple time steps of population size change, the <code>add_landscape_change</code> function is called to modify the model accordingly.</p>
+
+
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+        // This is a special case and we should probably do some content thinning / targeting
+        fetch(url)
+        .then(res => res.text())
+        .then(html => {
+          const parser = new DOMParser();
+          const htmlDoc = parser.parseFromString(html, "text/html");
+          const note = htmlDoc.querySelector('main.content');
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+            // remove the first header
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+              note.children[0].remove();
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+            const html = processXRef(null, note);
+            instance.setContent(html);
+          } 
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+          instance.enable();
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+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
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+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
+            const el = window.document.getElementById(lineIds[0]);
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+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
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+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
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+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
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+              parent.appendChild(div);
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+              gutter.appendChild(gutterDiv);
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+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
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+          selectedAnnoteEl = annoteEl;
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+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
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+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
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+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+      <a href="../reference/spDemography.add_ancestral_populations.html" class="pagination-link" aria-label="spDemography.add_ancestral_populations">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">spDemography.add_ancestral_populations</span>
+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../reference/plot_landscape.html" class="pagination-link" aria-label="plot_landscape">
+        <span class="nav-page-text">plot_landscape</span> <i class="bi bi-arrow-right-short"></i>
+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/reference/split_landscape_by_pop.html b/reference/split_landscape_by_pop.html
new file mode 100644
index 0000000..9928d05
--- /dev/null
+++ b/reference/split_landscape_by_pop.html
@@ -0,0 +1,852 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.5.56">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+
+<title>split_landscape_by_pop – spaceprime</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
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+ul.task-list li input[type="checkbox"] {
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+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<link href="../reference/spDemography.html" rel="next">
+<link href="../reference/raster_to_demes.html" rel="prev">
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 50,
+  "keyboard-shortcut": [
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+  "show-item-context": false,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-text-placeholder": "",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
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+}</script>
+
+
+</head>
+
+<body class="nav-sidebar floating nav-fixed fullcontent">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg " data-bs-theme="dark">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container mx-auto">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">spaceprime</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" role="menu" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link active" href="../reference/index.html" aria-current="page"> 
+<span class="menu-text">Reference</span></a>
+  </li>  
+  <li class="nav-item dropdown ">
+    <a class="nav-link dropdown-toggle" href="#" id="nav-menu-vignettes" role="link" data-bs-toggle="dropdown" aria-expanded="false">
+ <span class="menu-text">Vignettes</span>
+    </a>
+    <ul class="dropdown-menu" aria-labelledby="nav-menu-vignettes">    
+        <li>
+    <a class="dropdown-item" href="../transformation-functions.html">
+ <span class="dropdown-text">Transformation functions</span></a>
+  </li>  
+        <li>
+    <a class="dropdown-item" href="../spaceprime-for-r-users.html">
+ <span class="dropdown-text">spaceprime for R users</span></a>
+  </li>  
+    </ul>
+  </li>
+  <li class="nav-item">
+    <a class="nav-link" href="../cli.html"> 
+<span class="menu-text">CLI</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/connor-french/spaceprime"> <i class="bi bi-github" role="img" aria-label="spaceprime GitHub">
+</i> 
+<span class="menu-text"></span></a>
+  </li>  
+</ul>
+          </div> <!-- /navcollapse -->
+            <div class="quarto-navbar-tools">
+</div>
+      </div> <!-- /container-fluid -->
+    </nav>
+  <nav class="quarto-secondary-nav">
+    <div class="container-fluid d-flex">
+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+        <i class="bi bi-layout-text-sidebar-reverse"></i>
+      </button>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../reference/anc_to_deme_dict.html">Utilities</a></li><li class="breadcrumb-item"><a href="../reference/split_landscape_by_pop.html">split_landscape_by_pop</a></li></ol></nav>
+        <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
+        </a>
+    </div>
+  </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto">
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Reference</span></a>
+  </div>
+</li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
+ <span class="menu-text">Utilities</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/anc_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">anc_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_migration_matrix.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_migration_matrix</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_deme_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_deme_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/coords_to_sample_dict.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">coords_to_sample_dict</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/create_raster.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">create_raster</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/mtp_thresh_from_coords.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">mtp_thresh_from_coords</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/raster_to_demes.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">raster_to_demes</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/split_landscape_by_pop.html" class="sidebar-item-text sidebar-link active">
+ <span class="menu-text">split_landscape_by_pop</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true">
+ <span class="menu-text">Demography</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.add_ancestral_populations.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.add_ancestral_populations</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/spDemography.stepping_stone_2d.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">spDemography.stepping_stone_2d</span></a>
+  </div>
+</li>
+      </ul>
+  </li>
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" role="navigation" aria-expanded="true">
+ <span class="menu-text">Plotting</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" role="navigation" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_landscape.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">plot_landscape</span></a>
+  </div>
+</li>
+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/plot_model.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">plot_model</span></a>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
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+ <span class="menu-text">plot_timeseries</span></a>
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+        <li class="sidebar-item sidebar-item-section">
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+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-4" role="navigation" aria-expanded="true">
+ <span class="menu-text">Simulation</span></a>
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+      </div>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/sim_ancestry.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">sim_ancestry</span></a>
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+  <div class="sidebar-item-container"> 
+  <a href="../reference/sim_mutations.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">sim_mutations</span></a>
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+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-5" role="navigation" aria-expanded="true">
+ <span class="menu-text">Analysis</span></a>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/calc_sumstats.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">calc_sumstats</span></a>
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+          <li class="sidebar-item">
+  <div class="sidebar-item-container"> 
+  <a href="../reference/filter_gt.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">filter_gt</span></a>
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+<main class="content" id="quarto-document-content">
+
+
+
+
+<section id="spaceprime.split_landscape_by_pop" class="level1">
+<h1>split_landscape_by_pop</h1>
+<p><code>split_landscape_by_pop(raster, coordinates, anc_pop_id, band_index=1, mask_rast=False)</code></p>
+<p>Uses nearest-neighbor interpolation to classify a landscape raster based on the ancestral population assigned to sampled individuals. This function takes in a raster and a list of coordinates and ancestral population IDs assigned to each individual in the empirical data set. It then interpolates the population IDs across the landscape and returns the new raster as a masked array.</p>
+<section id="parameters" class="level2">
+<h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 6%">
+<col style="width: 25%">
+<col style="width: 62%">
+<col style="width: 5%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Name</th>
+<th>Type</th>
+<th>Description</th>
+<th>Default</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td><code>raster</code></td>
+<td>rasterio.DatasetReader</td>
+<td>The rasterio DatasetReader object representing the landscape raster that you want to divide.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>coordinates</code></td>
+<td>Union[List[Tuple[float, float]], gpd.GeoDataFrame]</td>
+<td>A list of (x, y) coordinates or a geopandas GeoDataFrame representing the coordinates assigned to each individual in the empirical data set.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="odd">
+<td><code>anc_pop_id</code></td>
+<td>List[Union[int, np.integer]]</td>
+<td>A list of ancestral population IDs assigned to each empirical individual<a href="#fn1" class="footnote-ref" id="fnref1" role="doc-noteref"><sup>1</sup></a>.</td>
+<td><em>required</em></td>
+</tr>
+<tr class="even">
+<td><code>band_index</code></td>
+<td>int</td>
+<td>The index of the raster to read in. Default is 1. Note- rasterio begins indexing at 1 for raster bands.</td>
+<td><code>1</code></td>
+</tr>
+<tr class="odd">
+<td><code>mask_rast</code></td>
+<td>bool</td>
+<td>Whether to mask the interpolation by the landscape. Default is False.</td>
+<td><code>False</code></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="returns" class="level2">
+<h2 class="anchored" data-anchor-id="returns">Returns</h2>
+<table class="caption-top table">
+<colgroup>
+<col style="width: 25%">
+<col style="width: 75%">
+</colgroup>
+<thead>
+<tr class="header">
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>np.ma.MaskedArray</td>
+<td>The new population assignment raster as a masked array.</td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="notes" class="level2">
+<h2 class="anchored" data-anchor-id="notes">Notes</h2>
+
+
+</section>
+</section>
+
+
+<div id="quarto-appendix" class="default"><section id="footnotes" class="footnotes footnotes-end-of-document" role="doc-endnotes"><h2 class="anchored quarto-appendix-heading">Footnotes</h2>
+
+<ol>
+<li id="fn1"><p>These IDs are assigned to each empirical individual typically based on genetic clustering methods like STRUCTURE or PCA. The IDs are used to assign individuals to ancestral populations in the landscape.<a href="#fnref1" class="footnote-back" role="doc-backlink">↩︎</a></p></li>
+</ol>
+</section></div></main> <!-- /main -->
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+      </a>          
+  </div>
+  <div class="nav-page nav-page-next">
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+      </a>
+  </div>
+</nav>
+</div> <!-- /content -->
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new file mode 100644
index 0000000..8b23357
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+++ b/search.json
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+  {
+    "objectID": "index.html",
+    "href": "index.html",
+    "title": "spaceprime",
+    "section": "",
+    "text": "A python package to facilitate spatially explicit coalescent modeling in msprime"
+  },
+  {
+    "objectID": "index.html#overview",
+    "href": "index.html#overview",
+    "title": "spaceprime",
+    "section": "Overview",
+    "text": "Overview\nspaceprime is a Python package that facilitates the creation and analysis of spatially gridded coalescent models in the msprime library. The package is designed to make it easier for practitioners to convert spatial maps of habitat suitability into extensible two-dimensional stepping-stone models of gene flow, where each pixel of the map represents a deme and demes are able to migrate with their neighbors. Demes and migration rates are able to change over time according to habitat suitability model projections to different time periods. These demographic parameters are then used to simulate genetic data under a coalescent model with msprime as the simulator, which can be used to infer the demographic history of the population. The package is designed to be user-friendly and intuitive, allowing users to easily simulate and analyze spatially explicit genetic data.\n\n\n\n\n\n\nNote for R users\n\n\n\nspaceprime is implemented in Python, yet many interested users may come from an R background. I have a spaceprime for R users vignette that provides a brief introduction to the Python concepts necessary to use spaceprime through a practical walk-through of an example analysis. If you still want to use R, it is possible to use Python code in R using the reticulate package. For more information on how to use Python code in R, see the reticulate documentation."
+  },
+  {
+    "objectID": "index.html#main-features",
+    "href": "index.html#main-features",
+    "title": "spaceprime",
+    "section": "Main features",
+    "text": "Main features\nspaceprime includes a number of features:\n\nConvert habitat suitability values into demographic parameters, including deme sizes, migration rates, and their change through time using very little code. Code complexity does not increase with model complexity, allowing users to focus on the biological questions they are interested in.\n\nSimulate spatially explicit genetic data under a coalescent model with msprime. The modeling approach is fully coalescent with no forward-time component, allowing for computationally efficient simulations of large spatially explicit models.\n\nVisualize demographic models to facilitate model interpretation and model checking.\nCompute genetic summary statistics for simulated and empirical data to facilitate comparison with empirical data.\n\nExtensibility: spaceprime is designed to be interoperable with msprime, where users can setup a model with spaceprime, then customize it using the full range of msprime functionality."
+  },
+  {
+    "objectID": "index.html#installation",
+    "href": "index.html#installation",
+    "title": "spaceprime",
+    "section": "Installation",
+    "text": "Installation\n\nStable release\nspaceprime can be installed using pip or conda. Due to the package’s reliance on msprime, the pip installation is only available on unix-based systems (MacOS, Linux). Windows users should install spaceprime using conda.\nTo install spaceprime using pip, run the following command in your terminal:\npip install spaceprime\nTo install spaceprime using conda, run the following command in your terminal:\nconda install -c conda-forge spaceprime\nThe mamba package manager can also be used to install spaceprime using conda. mamba tends to be much faster than conda. To install spaceprime using mamba, install mamba, then run the following command in your terminal:\nmamba install -c conda-forge spaceprime\n\n\nFrom source\nTo install spaceprime from source, run this command in your terminal:\npip install git+https://github.com/connor-french/spaceprime\n\n\nExtras\nTo install the analysis module, which is imported separately from the main package to reduce the number of dependencies:\npip install spaceprime[analysis]\nor\nconda install -c conda-forge spaceprime[analysis]"
+  },
+  {
+    "objectID": "index.html#usage",
+    "href": "index.html#usage",
+    "title": "spaceprime",
+    "section": "Usage",
+    "text": "Usage\nTo use spaceprime in a project:\n\nimport spaceprime\n\nTo use the analysis module, which is imported separately from the main package to reduce the number of dependencies:\n\nfrom spaceprime import analysis\n\n\n\n\n\n\n\nImportant\n\n\n\nMake sure to install the relevant analysis dependencies with pip install spaceprime[analysis] or conda install -c conda-forge spaceprime[analysis]."
+  },
+  {
+    "objectID": "index.html#quickstart",
+    "href": "index.html#quickstart",
+    "title": "spaceprime",
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+    "text": "Quickstart\n\n\n\n\n\n\nTip\n\n\n\nThis quickstart guide assumes you have a basic understanding of Python. If you are an R user, please refer to the spaceprime for R users vignette for an overview of spaceprime with the necessary Python concepts explained.\n\n\n\n1. Download data\nThe data we’re using in this example are a GeoTiff raster file of habitat suitability values and a GeoJSON file containing geographic localities and metadata for this cute frog, Phyllomedusa distincta:\n\n\n\n\n\nFollow the link to download the projections.tif file. You do not need to download the localities.geojson file, as it is read in from the web in the code below.\nThe raster file contains 23 layers, where each layer is a projection of the habitat suitability model (aka species distribution model or ecological niche model) to a time slice in the past, ranging from the present day to 22,000 years ago in 1,000 year intervals. The habitat suitability values range from zero to one, where zero represents no suitability for the species and one represents perfect suitability. In the following plots, yellow represents higher suitability and purple represents lower suitability. Here are a few time slices of the model:\n\n\n\n\n\n\n\n\n\nThe GeoJSON file contains geographic sampling localities of P. distincta in the Brazilian Atlantic Forest, along with metadata about each locality. Each row is a single individual/observation. spaceprime counts the number of observations with coordinates that overlap with a raster cell/deme and samples the calculated number for simulations and summary statistics. Here are the localities plotted on top of the present-day habitat suitability model:\n\n\n\n\n\n\n\n\n\n\n\n2. Read in packages and data\nNow that we have our data, let’s read in the packages and data we’ll be using. The GeoPandas and Rasterio packages are dependencies of spaceprime, so you shouldn’t need to install them separately. They are needed for reading in locality data and habitat suitability rasters, respectively.\n\nimport spaceprime as sp\nimport geopandas as gpd\nimport rasterio\n\nMake sure to replace the projections.tif file path with the path to the file on your system. The GeoJSON file is read in from the web, so you don’t need to download it.\n\nr = rasterio.open(\"projections.tif\")\nlocs = gpd.read_file(\"https://raw.githubusercontent.com/connor-french/spaceprime/main/spaceprime/data/localities.geojson\")\n\n\n\n3. Set up the demographic model\nNext, we’ll convert the habitat suitability values into deme sizes, so each cell in the raster will represent a deme in our model. We’ll use a linear transformation to convert the suitability values to deme sizes, where the suitability value is multiplied by a constant to get the deme size. The constant is the maximum local deme size, which we set to 1000. For more on transformations, see the suitability to deme size transformation functions vignette.\n\nd = sp.raster_to_demes(r, transformation=\"linear\", max_local_size=1000)\n\nNow that we have our deme sizes, we can set up the demographic model. The model that spaceprime uses is a two-dimensional stepping-stone model with a global migration rate of 0.001 between neighboring demes. The global rate by default is scaled, where demes exchange the same number of migrants with their neighbors, regardless of deme size. To change this behavior, set scale=false. We’re assuming that P. distincta has a generation time of one year. Using a single value for the timesteps argument tells spaceprime that 1000 generations passes in between each raster time step in the model.\nThis step may take a few seconds (10-15 seconds on my machine) to run.\n\n# initialize the model\ndemo = sp.spDemography()\n\n# populate the spDemography object with the deme sizes and migration rates\ndemo.stepping_stone_2d(d, rate=0.001, timesteps=1000)\n\nAfter initializing the spatial component of the simulation, it’s desirable to add one or more ancestral populations to the model. This is done by providing a list of ancestral population sizes and the time (in generations) at which the spatially distributed demes migrate into the ancestral population(s). The following code adds a single ancestral population of 100,000 individuals that demes merge into 23,000 generations in the past:\n\n# add ancestral population\ndemo.add_ancestral_populations([100000], 23000)\n\n\n\n4. Inspect your model\nNow that we have our demographic model set up, we can inspect it to make sure it looks as expected. spaceprime has a series of plot_() functions that make this easier.\n\nplot_landscape()\nplot_landscape() plots the deme sizes in space, which allows you to quickly inspect whether the transformation you applied to your habitat suitability map make sense. Here, we provide the demographic model object, the raster object, the index of the time slice to plot (0 for the present day in this case), and basemap=True to add an OpenStreetMap basemap, providing geographic context to the plot. If you don’t have an internet connection, set basemap=False (the default) to plot without the basemap.\n\nsp.plot_landscape(demo, r, 0, basemap=True)\n\n\n\n\n\n\n\n\n\n\nplot_model()\nplot_model() plots the deme sizes on a folium interactive map, with precise deme sizes and outgoing migration rates for each deme present in a popup.\n\nsp.plot_model(demo, r, 0)\n\nMake this Notebook Trusted to load map: File -&gt; Trust Notebook\n\n\n\n\n\n5. Simulate genetic data\nBefore simulating this demography, we need to create a sample dictionary that translates the empirical sampling localities to the model’s deme indices and maps those to the number of samples to take from each deme. By default, this function sets the number of individuals to sample from each deme to the number of empirical localities in that deme. The coords_to_sample_dict() function also returns two other dictionaries that are not used in this example, so we’ll ignore them.\n\nsample_dict, _, _ = sp.coords_to_sample_dict(r, locs)\n\nNow we get to simulate! The first task is to simulate the ancestry of the samples using the coalescent. All of the hard work is done through msprime’s sim_ancestry() function, for which spaceprime provides a convenience wrapper. This function returns a tskit TreeSequence, which “represents a sequence of correlated evolutionary trees along a genome” and is an incredibly powerful and compact data representation for population genomic analyses. The minimum number of arguments required for this function are the sample dictionary and the demographic model. If you need to overlay mutations, you need to supply the sequence length. Notice the lack of mutations in the table. We’ll set record_provenance to False to decrease the memory overhead of storing a bunch of metadata about the simulation.\nThis step may take a minute or so to run.\n\nsim = sp.sim_ancestry(samples=sample_dict, demography=demo, sequence_length=1e5, record_provenance=False, random_seed=42)\n\nprint(sim)\n\n╔═══════════════════════════╗\n║TreeSequence               ║\n╠═══════════════╤═══════════╣\n║Trees          │          1║\n╟───────────────┼───────────╢\n║Sequence Length│     100000║\n╟───────────────┼───────────╢\n║Time Units     │generations║\n╟───────────────┼───────────╢\n║Sample Nodes   │        344║\n╟───────────────┼───────────╢\n║Total Size     │  205.8 KiB║\n╚═══════════════╧═══════════╝\n╔═══════════╤════╤═════════╤════════════╗\n║Table      │Rows│Size     │Has Metadata║\n╠═══════════╪════╪═════════╪════════════╣\n║Edges      │ 686│ 21.4 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Individuals│ 172│  4.7 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Migrations │   0│  8 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Mutations  │   0│ 16 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Nodes      │ 687│ 18.8 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Populations│3481│155.4 KiB│         Yes║\n╟───────────┼────┼─────────┼────────────╢\n║Provenances│   0│ 16 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Sites      │   0│ 16 Bytes│          No║\n╚═══════════╧════╧═════════╧════════════╝\n\n\n\nWe’ll take a peak at a single tree from the TreeSequence object to see what it looks like. The draw_svg() method plots trees from the TreeSequence object. Here, I selected a single tree and removed the node labels because there are tons of nodes that crowd the plot and we’re only interested in the tree structure.\n\nfirst_tree = sim.first()\nnode_labels = {node.id: \"\" for node in sim.nodes()}\nfirst_tree.draw_svg(y_axis=True, size=(600, 400), node_labels=node_labels)\n\n\n\n\n\n\n\n\nOverlaying mutations after simulating ancestry isn’t necessary for calculating genetic summary statistics on a TreeSequence, but it is necessary if you would like to compare your simulations with empirical data that are represented as a table of genotypes rather than a TreeSequence. The sim_mutations() function overlays mutations on the TreeSequence object returned by sim_ancestry() and requires the mutation rate. The mutation rate is the number of mutations per base pair per generation. For this example, we’ll use a mutation rate of 1e-10 so we don’t overcrowd the tree sequence visualization. You can see from the table that the tree sequence has some mutations!\n\nsim = sp.sim_mutations(sim, rate=1e-10, random_seed=490)\n\nprint(sim)\n\n╔═══════════════════════════╗\n║TreeSequence               ║\n╠═══════════════╤═══════════╣\n║Trees          │          1║\n╟───────────────┼───────────╢\n║Sequence Length│     100000║\n╟───────────────┼───────────╢\n║Time Units     │generations║\n╟───────────────┼───────────╢\n║Sample Nodes   │        344║\n╟───────────────┼───────────╢\n║Total Size     │  209.4 KiB║\n╚═══════════════╧═══════════╝\n╔═══════════╤════╤═════════╤════════════╗\n║Table      │Rows│Size     │Has Metadata║\n╠═══════════╪════╪═════════╪════════════╣\n║Edges      │ 686│ 21.4 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Individuals│ 172│  4.7 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Migrations │   0│  8 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Mutations  │  48│  1.8 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Nodes      │ 687│ 18.8 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Populations│3481│155.4 KiB│         Yes║\n╟───────────┼────┼─────────┼────────────╢\n║Provenances│   1│717 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Sites      │  48│  1.2 KiB│          No║\n╚═══════════╧════╧═════════╧════════════╝\n\n\n\nAnd now for the tree. The red X’s represent mutations on the tree, with their ID numbers next to them.\n\nfirst_tree_mut = sim.first()\n\nnode_labels = {node.id: \"\" for node in sim.nodes()}\nfirst_tree_mut.draw_svg(y_axis=True, size=(600, 400), node_labels=node_labels)\n\n\n\n\n\n\n\n\nFrom here, you have a few options. You can:\n\nUse the analysis module to calculate genetic summary statistics on the TreeSequence object. For more on the analysis module, see the analysis module documentation.\n\nSave the TreeSequence to use later or analyze on a platform like tskit with sim.dump(file/path/to/write/to.trees).\n\nConvert the TreeSequence with mutations to a genotype matrix for use in a program like scikit-allel with sim.genotype_matrix(). For more information on this function, see the tskit documentation.\n\nExport the TreeSequence with mutations to a VCF file using sim.write_vcf. For more information on how to use this function, see the tskit documentation.\n\n\n\n\n\n\n\nTODO\n\n\n\nadd a link to the analysis module documentation when it’s ready."
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+    "title": "spaceprime",
+    "section": "Report Issues",
+    "text": "Report Issues\nhttps://github.com/connor-french/spaceprime/issues"
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+    "text": "Contributing\nWe love contributions! Please see the Contributing Guide for more information.\nPlease note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms."
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+    "text": "The primary reason for implementing spaceprime in Python is to facilitate a natural integration with the msprime library. While there are R packages that can interface with msprime, most notably slendr, maintaining the connection between R and Python adds significant maintenance overhead. If someone wants to pay me to maintain it, I’d be happy to create an R API, but until then, Python it is! It’s also good to learn a little Python- it’s a very useful language to know. Fortunately, you don’t have to be an expert in Python to use spaceprime, so I’ll get you up to speed on the basics."
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+    "text": "The primary reason for implementing spaceprime in Python is to facilitate a natural integration with the msprime library. While there are R packages that can interface with msprime, most notably slendr, maintaining the connection between R and Python adds significant maintenance overhead. If someone wants to pay me to maintain it, I’d be happy to create an R API, but until then, Python it is! It’s also good to learn a little Python- it’s a very useful language to know. Fortunately, you don’t have to be an expert in Python to use spaceprime, so I’ll get you up to speed on the basics."
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+    "text": "Installation\nIn R, package installation is designed to be easy, which is manageable due to R’s limited scope. Python is an incredibly diverse language, so flexibility in package design and management is valued more than ease of use. The focus then is to create unique development environments for the projects you are working on. This facilitates reproducibility as well as an explicit and clean developing environment.\nTo maintain a clean developing environment, it’s common practice to use a virtual environment for your projects. This is a self-contained Python environment that allows you to install packages without affecting your system Python installation. The most popular package for managing virtual environments is conda. There are multiple conda distributions, but I recommend installing the miniforge distribution, which contains the mamba package manager. Mamba is a faster, more efficient package manager than conda, and it’s what I use to install packages. If you’re already familiar with conda, mamba is a drop-in replacement.\nOnce you have miniforge installed, you can create a new environment with the following command:\nmamba create -n spaceprime\nThis will create a new environment called spaceprime. To activate the environment, use the following command:\nmamba activate spaceprime\nNow, when you install packages, they will be installed in the spaceprime environment. To install the packages you need for this tutorial, use the following command:\nmamba install spaceprime rasterio geopandas\nThe rasterio and geopandas packages are used for reading in and manipulating spatial data. I’ll discuss them in more detail later."
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+    "section": "Loading packages",
+    "text": "Loading packages\nIn Python, you load packages using the import statement. For example, to load the spaceprime package, you would use the following command:\n\nimport spaceprime as sp\n\nThe as sp part of the command is an alias, which allows you to refer to the package by a shorter name. You want to do this for longer package names to save typing. Python requires you to use the package name when calling functions from the package, rather than it being optional, like in R. For example, to call a function from the spaceprime package, you would use the following syntax:\n\nsp.function_name()\n\nThis is analogous to the package::function_name() syntax in R.\nIn Python, you can also import specific modules or functions from a package, rather than importing the entire package. For example, to import just the demography module from the spaceprime package, you would use the following command:\n\nfrom spaceprime import demography\n\n\n\n\n\n\n\nModules\n\n\n\nIn Python, a module is a file that contains code you can use to perform specific tasks. This code can include functions, variables, and classes. Python packages typically contain multiple modules, each of which performs a specific set of tasks. Unlike in R, Python allows you to import specific modules or functions from a package, rather than having to load the entire package.\n\n\nIf you want to just import the raster_to_demes() function from the utilities module, you would use the following command:\n\nfrom spaceprime.utilities import raster_to_demes\n\n\nImport the necessary packages\nFor this tutorial, we’ll be using the spaceprime, rasterio, and geopandas packages.\n\nimport spaceprime as sp\nimport rasterio\nimport geopandas as gpd\n\nThe rasterio package is used for reading, manipulating, and writing raster data, with its closest R analogue being the terra package. The geopandas package is used for reading, manipulating, and writing vector data, with its closest R analogue being the sf package."
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+    "text": "Download data\nThe data we’re using in this example are a GeoTiff raster file of habitat suitability values and a GeoJSON file containing geographic localities and metadata for this cute frog, Phyllomedusa distincta:\n\n\n\n\n\nFollow the link to download the projections.tif file. You do not need to download the localities.geojson file, as it is read in from the web in the code below.\nThe raster file contains 23 layers, where each layer is a projection of the habitat suitability model (aka species distribution model or ecological niche model) to a time slice in the past, ranging from the present day to 22,000 years ago in 1,000 year intervals. The habitat suitability values range from zero to one, where zero represents no suitability for the species and one represents perfect suitability. In the following plots, yellow represents higher suitability and purple represents lower suitability. Here are a few time slices of the model:\n\n\n\n\n\n\n\n\n\nThe GeoJSON file contains geographic sampling localities of P. distincta in the Brazilian Atlantic Forest, along with metadata about each locality. Each row is a single individual/observation. spaceprime counts the number of observations with coordinates that overlap with a raster cell/deme and samples the calculated number for simulations and summary statistics. Here are the localities plotted on top of the present-day habitat suitability model:\n\n\n\n\n\n\n\n\n\n\nRead in data\nMake sure to replace the projections.tif file path with the path to the file on your system. The GeoJSON file is read in from the web, so you don’t need to download it. Notice that each function is called with the package name or alias followed by a period, then the function name!\n\nr = rasterio.open(\"projections.tif\")\nlocs = gpd.read_file(\"https://raw.githubusercontent.com/connor-french/spaceprime/main/spaceprime/data/localities.geojson\")\n\nTo check out your raster object, you can print the meta attribute to the console. This will give you a summary of the raster, including the number of bands, the width and height of the raster, the coordinate reference system (CRS), and the bounds of the raster.\n\nprint(r.meta)\n\n{'driver': 'GTiff', 'dtype': 'float32', 'nodata': nan, 'width': 58, 'height': 60, 'count': 23, 'crs': CRS.from_epsg(4326), 'transform': Affine(0.16666666600000002, 0.0, -54.16680605885,\n       0.0, -0.166666666, -21.666805828849988)}\n\n\nTo check out your GeoDataFrame object, use the head() method, which will print the first few rows to your console.\n\nlocs.head()\n\n\n\n\n\n\n\n\nspecies\nlongitude\nlatitude\nindividual_id\nanc_pop_id\ngeometry\n\n\n\n\n0\ndistincta\n-48.633300\n-25.883300\n1145545021\n1.0\nPOINT (-48.6333 -25.8833)\n\n\n1\ndistincta\n-48.716829\n-27.169879\n3044567206\n2.0\nPOINT (-48.71683 -27.16988)\n\n\n2\ndistincta\n-47.983204\n-24.116604\n2596355434\n1.0\nPOINT (-47.9832 -24.1166)\n\n\n3\ndistincta\n-47.014321\n-24.369859\n3772589489\n1.0\nPOINT (-47.01432 -24.36986)\n\n\n4\ndistincta\n-49.581356\n-28.559573\n2448001684\n2.0\nPOINT (-49.58136 -28.55957)\n\n\n\n\n\n\n\nIf you would like to perform further data exploration on your GeoDataFrame object, I highly recommend the plotnine package, which is a Python implementation of the ggplot2 package in R. It uses the grammar of graphics to make nice plots. It’s the most painless way to switch from R plotting to Python plotting."
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+    "text": "Set up the demographic model\nNext, we’ll convert the habitat suitability values into deme sizes, so each cell in the raster will represent a deme in our model. We’ll use a linear transformation to convert the suitability values to deme sizes, where the suitability value is multiplied by a constant to get the deme size. The constant is the maximum local deme size, which we set to 1000. For more on transformations, see the suitability to deme size transformation functions vignette.\n\nd = sp.raster_to_demes(r, transformation=\"linear\", max_local_size=1000)\n\nNow that we have our deme sizes, we can set up the demographic model. spaceprime uses an object-oriented programming paradigm for creating a demographic model. Although most R users are more familiar with a functional programming paradigm, object-oriented programming does exist in R.\nIn object-oriented programming, you create an instance of a class and then call methods on that instance. The class is like a blueprint for creating objects, and the methods are functions that operate on the object’s data. This is useful for creating complex data structures like demographic models, where you have multiple components that interact with each other.\nIn spaceprime, the spDemography class is used to set up the demographic model. The spDemography class has methods for setting up the spatial component of the model, adding ancestral populations, and inherits all of the methods of the msprime Demography class.\n\ndemo = sp.spDemography()\n\nNow you can run methods on the demo object to set up the demographic model. The first method we’ll run is the stepping_stone_2d() method, which sets up a two-dimensional stepping-stone model. The migration rate, specified by rate, can be a single global rate or an array of values specifying each neighbor’s migration rate. Here, we’re using a global rate of 0.001. The global rate by default is scaled, where demes exchange the same number of migrants with their neighbors, regardless of deme size. To change this behavior, set scale=false. We’re assuming that P. distincta has a generation time of one year. Using a single value for the timesteps argument tells spaceprime that 1000 generations passes in between each raster time step in the model.\nThis step may take a few seconds (10-15 seconds on my machine) to run.\n\n# populate the spDemography object with the deme sizes and migration rates\ndemo.stepping_stone_2d(d, rate=0.001, timesteps=1000)\n\nYou may have noticed that we didn’t assign the output to a new variable. This is because the stepping_stone_2d() method modifies the demo object in place, rather than returning a new object. This is a common pattern in object-oriented programming, where methods modify the object they’re called on rather than returning a new object.\nAfter initializing the spatial component of the simulation, it’s desirable to add one or more ancestral populations to the model. This is done by providing a list of ancestral population sizes and the time (in generations) at which the spatially distributed demes migrate into the ancestral population(s). The following code adds a single ancestral population of 100,000 individuals that demes merge into 23,000 generations in the past. The brackets in [100000] specify a list in python. In this case, it is a list of length one.\n\n# add ancestral population\ndemo.add_ancestral_populations([100000], 23000)\n\n\nInspect your model\nNow that we have our demographic model set up, we can inspect it to make sure it looks as expected. spaceprime has a series of plot_() functions that make this easier.\n\nplot_landscape()\nplot_landscape() plots the deme sizes in space, which allows you to quickly inspect whether the transformation you applied to your habitat suitability map make sense. Here, we provide the demographic model object, the raster object, the index of the time slice to plot (0 for the present day in this case), and basemap=True to add an OpenStreetMap basemap, providing geographic context to the plot. If you don’t have an internet connection, set basemap=False (the default) to plot without the basemap.\n\nsp.plot_landscape(demo, r, 0, basemap=True)\n\n\n\n\n\n\n\n\n\n\nplot_model()\nplot_model() plots the deme sizes on a folium interactive map, with precise deme sizes and outgoing migration rates for each deme present in a popup.\n\nsp.plot_model(demo, r, 0)\n\nMake this Notebook Trusted to load map: File -&gt; Trust Notebook"
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+    "text": "Simulate genetic data\nBefore simulating this demography, we need to create a sample dictionary that translates the empirical sampling localities to the model’s deme indices and maps those to the number of samples to take from each deme. By default, coords_to_sample_dict() sets the number of individuals to sample from each deme to the number of empirical localities in that deme. The function also returns two other dictionaries that are not used in this example, so we’ll ignore them. In Python, it’s common practice for a function to return multiple objects as a list. If you want the objects separated, you use the formatting below. Using an underscore _ leads to the object being ignored.\n\n\n\n\n\n\nDictionaries\n\n\n\nDictionaries are a data structure in Python that map keys to values. They are similar to lists, but instead of using an index to access elements, you use a key. Dictionaries are useful for storing data that has a key-value relationship, like a phone book, where the key is the name of the person and the value is their phone number. In this case, the key is the deme index and the value is the number of samples to take from that deme.\n\n\n\nsample_dict, _, _ = sp.coords_to_sample_dict(r, locs)\n\nNow we get to simulate! The first task is to simulate the ancestry of the samples using the coalescent. All of the hard work is done through msprime’s sim_ancestry() function, for which spaceprime provides a convenience wrapper. This function returns a tskit TreeSequence, which “represents a sequence of correlated evolutionary trees along a genome” and is an incredibly powerful and compact data representation for population genomic analyses. The minimum number of arguments required for this function are the sample dictionary and the demographic model. If you need to overlay mutations, you need to supply the sequence length. Notice the lack of mutations in the table. We’ll set record_provenance to False to decrease the memory overhead of storing a bunch of metadata about the simulation.\nThis step may take a minute or so to run.\n\nsim = sp.sim_ancestry(samples=sample_dict, demography=demo, sequence_length=1e5, record_provenance=False, random_seed=42)\n\nprint(sim)\n\n╔═══════════════════════════╗\n║TreeSequence               ║\n╠═══════════════╤═══════════╣\n║Trees          │          1║\n╟───────────────┼───────────╢\n║Sequence Length│     100000║\n╟───────────────┼───────────╢\n║Time Units     │generations║\n╟───────────────┼───────────╢\n║Sample Nodes   │        344║\n╟───────────────┼───────────╢\n║Total Size     │  205.8 KiB║\n╚═══════════════╧═══════════╝\n╔═══════════╤════╤═════════╤════════════╗\n║Table      │Rows│Size     │Has Metadata║\n╠═══════════╪════╪═════════╪════════════╣\n║Edges      │ 686│ 21.4 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Individuals│ 172│  4.7 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Migrations │   0│  8 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Mutations  │   0│ 16 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Nodes      │ 687│ 18.8 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Populations│3481│155.4 KiB│         Yes║\n╟───────────┼────┼─────────┼────────────╢\n║Provenances│   0│ 16 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Sites      │   0│ 16 Bytes│          No║\n╚═══════════╧════╧═════════╧════════════╝\n\n\n\nWe’ll take a peak at a single tree from the TreeSequence object to see what it looks like. The draw_svg() method plots trees from the TreeSequence object. Here, I selected a single tree and removed the node labels because there are tons of nodes that crowd the plot and we’re only interested in the tree structure.\n\nfirst_tree = sim.first()\nnode_labels = {node.id: \"\" for node in sim.nodes()}\nfirst_tree.draw_svg(y_axis=True, size=(600, 400), node_labels=node_labels)\n\n\n\n\n\n\n\n\nOverlaying mutations after simulating ancestry isn’t necessary for calculating genetic summary statistics on a TreeSequence, but it is necessary if you would like to compare your simulations with empirical data that are represented as a table of genotypes rather than a TreeSequence. The sim_mutations() function overlays mutations on the TreeSequence object returned by sim_ancestry() and requires the mutation rate. The mutation rate is the number of mutations per base pair per generation. For this example, we’ll use a mutation rate of 1e-10 so we don’t overcrowd the tree sequence visualization. You can see from the table that the tree sequence has some mutations!\n\nsim = sp.sim_mutations(sim, rate=1e-10, random_seed=490)\n\nprint(sim)\n\n╔═══════════════════════════╗\n║TreeSequence               ║\n╠═══════════════╤═══════════╣\n║Trees          │          1║\n╟───────────────┼───────────╢\n║Sequence Length│     100000║\n╟───────────────┼───────────╢\n║Time Units     │generations║\n╟───────────────┼───────────╢\n║Sample Nodes   │        344║\n╟───────────────┼───────────╢\n║Total Size     │  209.4 KiB║\n╚═══════════════╧═══════════╝\n╔═══════════╤════╤═════════╤════════════╗\n║Table      │Rows│Size     │Has Metadata║\n╠═══════════╪════╪═════════╪════════════╣\n║Edges      │ 686│ 21.4 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Individuals│ 172│  4.7 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Migrations │   0│  8 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Mutations  │  48│  1.8 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Nodes      │ 687│ 18.8 KiB│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Populations│3481│155.4 KiB│         Yes║\n╟───────────┼────┼─────────┼────────────╢\n║Provenances│   1│717 Bytes│          No║\n╟───────────┼────┼─────────┼────────────╢\n║Sites      │  48│  1.2 KiB│          No║\n╚═══════════╧════╧═════════╧════════════╝\n\n\n\nYou might have noticed that we return new objects for sim_ancestry and sim_mutations. This is because we have returned to a functional programming paradigm, where functions return new objects rather than modifying objects in place. We do this because the TreeSequence objects are a different type of object than the demographic model object, and we want to keep them separate.\nAnd now for the tree. The red X’s represent mutations on the tree, with their ID numbers next to them.\n\nfirst_tree_mut = sim.first()\n\nnode_labels = {node.id: \"\" for node in sim.nodes()}\nfirst_tree_mut.draw_svg(y_axis=True, size=(600, 400), node_labels=node_labels)\n\n\n\n\n\n\n\n\nFrom here, you have a few options. You can:\n\nUse the analysis module to calculate genetic summary statistics on the TreeSequence object. For more on the analysis module, see the analysis module documentation.\n\nSave the TreeSequence to use later or analyze on a platform like tskit with sim.dump(file/path/to/write/to.trees).\n\nConvert the TreeSequence with mutations to a genotype matrix for use in a program like scikit-allel with sim.genotype_matrix(). For more information on this function, see the tskit documentation.\n\nExport the TreeSequence with mutations to a VCF file using sim.write_vcf. For more information on how to use this function, see the tskit documentation.\n\n\n\n\n\n\n\nTODO\n\n\n\nadd a link to the analysis module documentation when it’s ready."
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+    "text": "mtp_thresh_from_coords(raster, coordinates)\nThis function takes the coordinates of empirical sampling localities, finds which raster cells they belong to, extracts the values of the first layer for those localities, and finds the minimum value. This value is the maximum threshold value to determine a presence vs absence in a threshold transformation. If the threshold is set any higher, empirical sampling localities will not be sampled in the simulations.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nraster\nrasterio.DatasetReader\nThe rasterio DatasetReader object representing the raster data containing the suitability values.\nrequired\n\n\ncoordinates\nUnion[List[Tuple[float, float]], gpd.GeoDataFrame]\nThe longitude, latitude coordinates of the empirical sampling localities as a list of coordinate pair tuples or a geopandas GeoDataFrame.\nrequired\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nfloat\nThe maximum threshold value to determine a presence vs absence in a threshold transformation.\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nTypeError\nIf the coordinates input is not a list, geopandas GeoDataFrame, or pandas DataFrame.",
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+    "text": "Functions for processing data.\n\n\n\nanc_to_deme_dict\nConverts the ancestral population assignments of demes into a dictionary mapping ancestral population IDs to deme indices.\n\n\ncalc_migration_matrix\nCalculates a migration matrix based on deme sizes and a global migration rate. The migration rate can be scaled based on population size or set as a constant.\n\n\ncoords_to_deme_dict\nFinds the cells a given set of coordinates belong to in a raster and returns a dictionary mapping the cell indices to the centroid coordinates of those cells.\n\n\ncoords_to_sample_dict\nConvert sample coordinates to sample dictionaries for simulation and analysis. Can optionally include empirical data, which is accepted as a path to a VCF file.\n\n\ncreate_raster\nCreates a raster dataset from a numpy array and reference raster and writes it to a new GeoTiff file.\n\n\nmtp_thresh_from_coords\nThis function takes the coordinates of empirical sampling localities, finds which raster cells they belong to, extracts the values of the first layer for those localities, and finds the minimum value.\n\n\nraster_to_demes\nConverts a raster to a 2D np.ndarray of deme sizes using either linear, threshold, or sigmoid transformation functions. For more detail about transformation functions, see this brief overview.\n\n\nsplit_landscape_by_pop\nUses nearest-neighbor interpolation to classify a landscape raster based on the ancestral population assigned to sampled individuals.\n\n\n\n\n\n\nMethods to create and manipulate demographic models.\n\n\n\nspDemography\n\n\n\nspDemography.add_ancestral_populations\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\nspDemography.stepping_stone_2d\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.\n\n\n\n\n\n\nFunctions for visualizing data.\n\n\n\nplot_landscape\nPlots a static map of a transformed landscape at the timestep of your choice.\n\n\nplot_model\nPlots the demes and migration rates for a given timestep as an interactive map.\n\n\nplot_timeseries\nPlots the total number of individuals across the landscape across time.\n\n\n\n\n\n\nThin wrappers around msprime simulation functions.\n\n\n\nsim_ancestry\nA thin wrapper around msprime.sim_ancestry.\n\n\nsim_mutations\nA thin wrapper around msprime.sim_mutations.\n\n\n\n\n\n\nFunctions for analyzing data.\n\n\n\ncalc_sumstats\nCalculates a suite of genetic summary statistics on allele counts matrices generated by filter_gt or otherwise generated through scikit-allel.\n\n\nfilter_gt\nFilter genotype matrices output by ts.genotype_matrix() to filter out monomorphic sites, loci in linkage disequilibrium, and recreate missing data patterns common to empirical genotype data.",
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+    "text": "Functions for processing data.\n\n\n\nanc_to_deme_dict\nConverts the ancestral population assignments of demes into a dictionary mapping ancestral population IDs to deme indices.\n\n\ncalc_migration_matrix\nCalculates a migration matrix based on deme sizes and a global migration rate. The migration rate can be scaled based on population size or set as a constant.\n\n\ncoords_to_deme_dict\nFinds the cells a given set of coordinates belong to in a raster and returns a dictionary mapping the cell indices to the centroid coordinates of those cells.\n\n\ncoords_to_sample_dict\nConvert sample coordinates to sample dictionaries for simulation and analysis. Can optionally include empirical data, which is accepted as a path to a VCF file.\n\n\ncreate_raster\nCreates a raster dataset from a numpy array and reference raster and writes it to a new GeoTiff file.\n\n\nmtp_thresh_from_coords\nThis function takes the coordinates of empirical sampling localities, finds which raster cells they belong to, extracts the values of the first layer for those localities, and finds the minimum value.\n\n\nraster_to_demes\nConverts a raster to a 2D np.ndarray of deme sizes using either linear, threshold, or sigmoid transformation functions. For more detail about transformation functions, see this brief overview.\n\n\nsplit_landscape_by_pop\nUses nearest-neighbor interpolation to classify a landscape raster based on the ancestral population assigned to sampled individuals.",
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+    "text": "Methods to create and manipulate demographic models.\n\n\n\nspDemography\n\n\n\nspDemography.add_ancestral_populations\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\nspDemography.stepping_stone_2d\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.",
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+    "text": "Functions for visualizing data.\n\n\n\nplot_landscape\nPlots a static map of a transformed landscape at the timestep of your choice.\n\n\nplot_model\nPlots the demes and migration rates for a given timestep as an interactive map.\n\n\nplot_timeseries\nPlots the total number of individuals across the landscape across time.",
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+    "text": "Thin wrappers around msprime simulation functions.\n\n\n\nsim_ancestry\nA thin wrapper around msprime.sim_ancestry.\n\n\nsim_mutations\nA thin wrapper around msprime.sim_mutations.",
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+    "text": "Functions for analyzing data.\n\n\n\ncalc_sumstats\nCalculates a suite of genetic summary statistics on allele counts matrices generated by filter_gt or otherwise generated through scikit-allel.\n\n\nfilter_gt\nFilter genotype matrices output by ts.genotype_matrix() to filter out monomorphic sites, loci in linkage disequilibrium, and recreate missing data patterns common to empirical genotype data.",
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+    "text": "anc_to_deme_dict(anc_pops, deme_dict)\nConverts the ancestral population assignments of demes into a dictionary mapping ancestral population IDs to deme indices.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nanc_pops\nnp.ndarray\nAn array containing the ancestral population assignments of all demes across the landscape.\nrequired\n\n\ndeme_dict\nDict[int, int]\nA dictionary mapping deme indices to the number of individuals being sampled from each deme.\nrequired\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nDict[int, List[int]]\nA dictionary mapping each ancestral population ID to the range of assigned deme indices.",
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+    "text": "raster_to_demes(raster, transformation='linear', max_local_size=1000, normalize=False, threshold=None, thresh_norm=False, inflection_point=0.5, slope=0.05)\nConverts a raster to a 2D np.ndarray of deme sizes using either linear, threshold, or sigmoid transformation functions. For more detail about transformation functions, see this brief overview. Raster data should be continuous and positive. This function was created with the idea of taking in habitat suitability rasters scaled from 0 to 1, where 0 is no suitability and 1 is the highest suitability. However, it is flexible enough to accommodate other continuous rasters that can be coaxed to a 0 to 1 scale with the operation (data - np.min(data)) / (np.max(data) - np.min(data)) by setting the normalize flag to True.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nraster\nUnion[np.ndarray, rasterio.DatasetReader]\nThe input raster data. It can be a numpy array or a rasterio DatasetReader with one or more layers.\nrequired\n\n\ntransformation\nstr\nThe transformation function to be used. Options are “linear”, “threshold”, and “sigmoid”. Default is “linear”.\n'linear'\n\n\nmax_local_size\nint\nThe maximum local deme size. Default is 1000.\n1000\n\n\nnormalize\nbool\nWhether to normalize the raster data. Use if your data is not scaled from 0-1. Default is False.\nFalse\n\n\nthreshold\nfloat\nThe threshold value for the “threshold” transformation method. Default is None.\nNone\n\n\nthresh_norm\nbool\nWhether to normalize the local deme size based on the average suitability above the threshold. This is useful when comparing thresholded simulations with linear or sigmoid simulations, to maintain similar landscape-wide population sizes across max_local_size values. Default is False.\nFalse\n\n\ninflection_point\nfloat\nThe inflection point for the “sigmoid” transformation method. Default is 0.5.\n0.5\n\n\nslope\nfloat\nThe slope value for the “sigmoid” transformation method. Default is 0.05.\n0.05\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nnp.ndarray\nAn ndarray of deme sizes.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\nraster\nUnion[np.ndarray, rasterio.DatasetReader]\nThe input raster data. It can be a numpy array or a rasterio DatasetReader with one or more layers.\nrequired\n\n\ntransformation\nstr\nThe transformation function to be used. Options are “linear”, “threshold”, and “sigmoid”. Default is “linear”.\n'linear'\n\n\nmax_local_size\nint\nThe maximum local deme size. Default is 1000.\n1000\n\n\nnormalize\nbool\nWhether to normalize the raster data. Use if your data is not scaled from 0-1. Default is False.\nFalse\n\n\nthreshold\nfloat\nThe threshold value for the “threshold” transformation method. Default is None.\nNone\n\n\nthresh_norm\nbool\nWhether to normalize the local deme size based on the average suitability above the threshold. This is useful when comparing thresholded simulations with linear or sigmoid simulations, to maintain similar landscape-wide population sizes across max_local_size values. Default is False.\nFalse\n\n\ninflection_point\nfloat\nThe inflection point for the “sigmoid” transformation method. Default is 0.5.\n0.5\n\n\nslope\nfloat\nThe slope value for the “sigmoid” transformation method. Default is 0.05.\n0.05",
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+    "text": "sim_ancestry(*args, **kwargs)\nA thin wrapper around msprime.sim_ancestry.\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\n*args\ntuple\nVariable length argument list.\n()\n\n\n**kwargs\ndict\nArbitrary keyword arguments.\n{}\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nUnion[TreeSequence, Iterator[TreeSequence]]\nThe TreeSequence object representing the results of the simulation if no replication is performed, or an iterator over the independent replicates simulated if the num_replicates parameter has been used.\n\n\n\n\n\n\nThis function takes the same arguments as msprime.sim_ancestry and calls it directly, allowing users to use simulation functionality within the spaceprime namespace.\nSee the msprime.sim_ancestry documentation for more information: See the msprime documentation for more information: https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_ancestry\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nUnion[TreeSequence, Iterator[TreeSequence]]\nThe TreeSequence object representing the results of the simulation if no replication is performed, or an iterator over the independent replicates simulated if the num_replicates parameter has been used.",
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+    "text": "Type\nDescription\n\n\n\n\nUnion[TreeSequence, Iterator[TreeSequence]]\nThe TreeSequence object representing the results of the simulation if no replication is performed, or an iterator over the independent replicates simulated if the num_replicates parameter has been used.",
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+    "text": "This function takes the same arguments as msprime.sim_ancestry and calls it directly, allowing users to use simulation functionality within the spaceprime namespace.\nSee the msprime.sim_ancestry documentation for more information: See the msprime documentation for more information: https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_ancestry",
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+    "text": "split_landscape_by_pop(raster, coordinates, anc_pop_id, band_index=1, mask_rast=False)\nUses nearest-neighbor interpolation to classify a landscape raster based on the ancestral population assigned to sampled individuals. This function takes in a raster and a list of coordinates and ancestral population IDs assigned to each individual in the empirical data set. It then interpolates the population IDs across the landscape and returns the new raster as a masked array.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nraster\nrasterio.DatasetReader\nThe rasterio DatasetReader object representing the landscape raster that you want to divide.\nrequired\n\n\ncoordinates\nUnion[List[Tuple[float, float]], gpd.GeoDataFrame]\nA list of (x, y) coordinates or a geopandas GeoDataFrame representing the coordinates assigned to each individual in the empirical data set.\nrequired\n\n\nanc_pop_id\nList[Union[int, np.integer]]\nA list of ancestral population IDs assigned to each empirical individual1.\nrequired\n\n\nband_index\nint\nThe index of the raster to read in. Default is 1. Note- rasterio begins indexing at 1 for raster bands.\n1\n\n\nmask_rast\nbool\nWhether to mask the interpolation by the landscape. Default is False.\nFalse\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nnp.ma.MaskedArray\nThe new population assignment raster as a masked array.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\nraster\nrasterio.DatasetReader\nThe rasterio DatasetReader object representing the landscape raster that you want to divide.\nrequired\n\n\ncoordinates\nUnion[List[Tuple[float, float]], gpd.GeoDataFrame]\nA list of (x, y) coordinates or a geopandas GeoDataFrame representing the coordinates assigned to each individual in the empirical data set.\nrequired\n\n\nanc_pop_id\nList[Union[int, np.integer]]\nA list of ancestral population IDs assigned to each empirical individual1.\nrequired\n\n\nband_index\nint\nThe index of the raster to read in. Default is 1. Note- rasterio begins indexing at 1 for raster bands.\n1\n\n\nmask_rast\nbool\nWhether to mask the interpolation by the landscape. Default is False.\nFalse",
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+    "text": "Type\nDescription\n\n\n\n\nnp.ma.MaskedArray\nThe new population assignment raster as a masked array.",
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+    "text": "Footnotes\n\n\nThese IDs are assigned to each empirical individual typically based on genetic clustering methods like STRUCTURE or PCA. The IDs are used to assign individuals to ancestral populations in the landscape.↩︎",
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+    "text": "spDemography(self, *args, **kwargs)\n\n\n\n\n\nName\nDescription\n\n\n\n\nadd_ancestral_populations\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\nstepping_stone_2d\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.\n\n\n\n\n\nspDemography.add_ancestral_populations(anc_sizes, merge_time, anc_id=None, anc_merge_times=None, anc_merge_sizes=None, migration_rate=None)\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nanc_sizes\nList[float]\nA list of ancestral population sizes.\nrequired\n\n\nmerge_time\nUnion[float, int]\nThe time at which all demes in the spatial simulation merge into one or more ancestral populations.\nrequired\n\n\nanc_id\nOptional[np.ndarray]\nAn array of ancestral population IDs- the output of [split_landscape_by_pop][utilities.split_landscape_by_pop]. Defaults to None.\nNone\n\n\nanc_merge_times\nOptional[List[float]]\nA list of merge times for ancestral populations. Defaults to None.\nNone\n\n\nanc_merge_sizes\nOptional[List[float]]\nA list of sizes for merged ancestral populations. Defaults to None.\nNone\n\n\nmigration_rate\nOptional[float]\nThe symmetric migration rate between ancestral populations. Defaults to None.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmsprime.Demography\nThe demographic model with the added ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nValueError\nIf the model already contains ancestral populations.\n\n\nValueError\nIf the number of demes in the demographic model does not match the number of demes in the admixture ID raster.\n\n\n\n\n\n\nThe function adds ancestral populations to the given demographic model. If anc_id is not provided, a single ancestral population is added with the initial size specified in anc_sizes[0]. If anc_id is provided, a new ancestral population is added for each admixture population, with sizes specified in anc_sizes. The demes in the simulation are then merged into their respective ancestral populations based on the values in anc_id. If anc_merge_times is provided, the ancestral populations are merged at the specified times. If migration_rate is provided, symmetric migration is allowed between ancestral populations.\n\n\n\n\nspDemography.stepping_stone_2d(d, rate, scale=True, timesteps=None)\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nd\nnumpy.ndarray\nThe demography matrix representing the population sizes.\nrequired\n\n\nrate\nfloat or numpy.ndarray\nThe migration rate(s) between populations. If a float, it represents a constant migration rate for all populations. If a numpy.ndarray, it represents a migration matrix with shape (T, N, N), where N is the total number of populations and T is the number of time steps - 1, if T &gt; 1.\nrequired\n\n\nscale\nbool\nWhether to scale the migration rate matrix. Default is True.\nTrue\n\n\ntimesteps\nUnion[int, List[int]]\nThe list of timesteps representing the amount of time passing between each demographic event, in generations. If a single integer is provided, the function assumes that the time steps are equal.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmsprime.Demography\nThe constructed 2d stepping stone model as an msprime.Demography object.\n\n\n\n\n\n\nThe demography matrix d should have shape (n, m) or (k, n, m), where n is the number of rows and m is the number of columns for a 2D array and k is the number of layers in a 3D array. The migration rate matrix rate should have shape (N, N), where N is the total number of populations. If there are multiple time steps of population size change, the add_landscape_change function is called to modify the model accordingly.",
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+    "text": "Name\nDescription\n\n\n\n\nadd_ancestral_populations\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\nstepping_stone_2d\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.\n\n\n\n\n\nspDemography.add_ancestral_populations(anc_sizes, merge_time, anc_id=None, anc_merge_times=None, anc_merge_sizes=None, migration_rate=None)\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nanc_sizes\nList[float]\nA list of ancestral population sizes.\nrequired\n\n\nmerge_time\nUnion[float, int]\nThe time at which all demes in the spatial simulation merge into one or more ancestral populations.\nrequired\n\n\nanc_id\nOptional[np.ndarray]\nAn array of ancestral population IDs- the output of [split_landscape_by_pop][utilities.split_landscape_by_pop]. Defaults to None.\nNone\n\n\nanc_merge_times\nOptional[List[float]]\nA list of merge times for ancestral populations. Defaults to None.\nNone\n\n\nanc_merge_sizes\nOptional[List[float]]\nA list of sizes for merged ancestral populations. Defaults to None.\nNone\n\n\nmigration_rate\nOptional[float]\nThe symmetric migration rate between ancestral populations. Defaults to None.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmsprime.Demography\nThe demographic model with the added ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nValueError\nIf the model already contains ancestral populations.\n\n\nValueError\nIf the number of demes in the demographic model does not match the number of demes in the admixture ID raster.\n\n\n\n\n\n\nThe function adds ancestral populations to the given demographic model. If anc_id is not provided, a single ancestral population is added with the initial size specified in anc_sizes[0]. If anc_id is provided, a new ancestral population is added for each admixture population, with sizes specified in anc_sizes. The demes in the simulation are then merged into their respective ancestral populations based on the values in anc_id. If anc_merge_times is provided, the ancestral populations are merged at the specified times. If migration_rate is provided, symmetric migration is allowed between ancestral populations.\n\n\n\n\nspDemography.stepping_stone_2d(d, rate, scale=True, timesteps=None)\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nd\nnumpy.ndarray\nThe demography matrix representing the population sizes.\nrequired\n\n\nrate\nfloat or numpy.ndarray\nThe migration rate(s) between populations. If a float, it represents a constant migration rate for all populations. If a numpy.ndarray, it represents a migration matrix with shape (T, N, N), where N is the total number of populations and T is the number of time steps - 1, if T &gt; 1.\nrequired\n\n\nscale\nbool\nWhether to scale the migration rate matrix. Default is True.\nTrue\n\n\ntimesteps\nUnion[int, List[int]]\nThe list of timesteps representing the amount of time passing between each demographic event, in generations. If a single integer is provided, the function assumes that the time steps are equal.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmsprime.Demography\nThe constructed 2d stepping stone model as an msprime.Demography object.\n\n\n\n\n\n\nThe demography matrix d should have shape (n, m) or (k, n, m), where n is the number of rows and m is the number of columns for a 2D array and k is the number of layers in a 3D array. The migration rate matrix rate should have shape (N, N), where N is the total number of populations. If there are multiple time steps of population size change, the add_landscape_change function is called to modify the model accordingly.",
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+    "text": "calc_sumstats(ac, coords_dict, anc_demes_dict=None, ac_demes=None, ac_anc=None, between_anc_pop_sumstats=False, return_df=False, precision=6)\nCalculates a suite of genetic summary statistics on allele counts matrices generated by filter_gt or otherwise generated through scikit-allel. The required input is an allele counts matrix for all individuals/demes, and a dictionary mapping deme IDs to their coordinates, generated by coords_to_deme_dict. Optional inputs are dictionaries mapping ancestral population IDs to their constituent demes (anc_demes_dict), an dictionary of allele counts matrices for each deme (ac_demes), and dictionary of allele counts matrices for each ancestral population (ac_anc).\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nac\nnp.ndarray\nAn allele counts matrix for all individuals/demes.\nrequired\n\n\ncoords_dict\ndict\nA dictionary mapping deme IDs to their coordinates, generated by [coords_to_deme_dict][utilities.coords_to_deme_dict].\nrequired\n\n\nanc_demes_dict\ndict\nA dictionary mapping ancestral population IDs to their constituent demes. Defaults to None.\nNone\n\n\nac_demes\ndict\nA dictionary mapping deme IDs to their allele counts matrices. Necessary if you want to calculate Fst or Dxy between demes. Defaults to None.\nNone\n\n\nac_anc\ndict\nA dictionary mapping ancestral population IDs to their allel counts matrices. If provided, summary statistics are calculated within ancestral populations and not among them. Defaults to None.\nNone\n\n\nbetween_anc_pop_sumstats\nbool\nWhether to calculate Fst or Dxy between ancestral populations. Defaults to False.\nFalse\n\n\nreturn_df\nbool\nWhether to return the summary statistics as a pandas DataFrame. Defaults to False.\nFalse\n\n\nprecision\nint\nThe number of decimal places to round the summary statistics to. Defaults to 6.\n6\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\ndict\nA dictionary of summary statistics.\n\n\n\n\n\n\nThis function calculates the following summary statistics, either species-wide or per ancestral population, if provided: - Site Frequency Spectrum Hill numbers (q1 and q2), corrected for the number of sites - Pi (nucleotide diversity) - Tajima’s D - Pairwise Dxy - If between_anc_pop_sumstats is True, also calculates pairwise Dxy and Hudson’s FST between ancestral populations - Pairwise Hudson’s FST - If between_anc_pop_sumstats is True, also calculates pairwise Dxy and Hudson’s FST between ancestral populations - Isolation-by-distance slope and R2 - Moran’s I",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\nac\nnp.ndarray\nAn allele counts matrix for all individuals/demes.\nrequired\n\n\ncoords_dict\ndict\nA dictionary mapping deme IDs to their coordinates, generated by [coords_to_deme_dict][utilities.coords_to_deme_dict].\nrequired\n\n\nanc_demes_dict\ndict\nA dictionary mapping ancestral population IDs to their constituent demes. Defaults to None.\nNone\n\n\nac_demes\ndict\nA dictionary mapping deme IDs to their allele counts matrices. Necessary if you want to calculate Fst or Dxy between demes. Defaults to None.\nNone\n\n\nac_anc\ndict\nA dictionary mapping ancestral population IDs to their allel counts matrices. If provided, summary statistics are calculated within ancestral populations and not among them. Defaults to None.\nNone\n\n\nbetween_anc_pop_sumstats\nbool\nWhether to calculate Fst or Dxy between ancestral populations. Defaults to False.\nFalse\n\n\nreturn_df\nbool\nWhether to return the summary statistics as a pandas DataFrame. Defaults to False.\nFalse\n\n\nprecision\nint\nThe number of decimal places to round the summary statistics to. Defaults to 6.\n6",
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+    "text": "This function calculates the following summary statistics, either species-wide or per ancestral population, if provided: - Site Frequency Spectrum Hill numbers (q1 and q2), corrected for the number of sites - Pi (nucleotide diversity) - Tajima’s D - Pairwise Dxy - If between_anc_pop_sumstats is True, also calculates pairwise Dxy and Hudson’s FST between ancestral populations - Pairwise Hudson’s FST - If between_anc_pop_sumstats is True, also calculates pairwise Dxy and Hudson’s FST between ancestral populations - Isolation-by-distance slope and R2 - Moran’s I",
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+    "text": "coords_to_deme_dict(raster, coordinates)\nFinds the cells a given set of coordinates belong to in a raster and returns a dictionary mapping the cell indices to the centroid coordinates of those cells. Because the cells correspond with demes in the 2D stepping stone models, the cell indices are considered deme indices. The coordinates typically correspond to empirical data that the simulations need to be sampled from.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nraster\nrasterio.DatasetReader\nThe raster data as a rasterio DatasetReader object.\nrequired\n\n\ncoordinates\nUnion[List[Tuple[float, float]], gpd.GeoDataFrame]\nA list of (x, y) coordinates or a geopandas GeoDataFrame.\nrequired\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nDict[int, List[float]]\nA dictionary mapping deme indices to their corresponding coordinates.",
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+    "text": "plot_model(demo, raster, timestep, cmap='viridis', legend=True, tiles='CartoDB positron')\nPlots the demes and migration rates for a given timestep as an interactive map.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ndemo\nspaceprime.spDemography\nThe demographic model to plot.\nrequired\n\n\nraster\nrasterio.DatasetReader\nThe raster dataset used to create the demes matrix(es).\nrequired\n\n\ntimestep\nint\nThe index of the desired timestep to plot.\nrequired\n\n\ncmap\nstr\nThe colormap to use for the deme sizes. Defaults to ‘viridis’.\n'viridis'\n\n\nlegend\nbool\nWhether to show the color legend. Defaults to True.\nTrue\n\n\ntiles\nstr\nThe basemap tiles to use. Defaults to “CartoDB positron”.\n'CartoDB positron'\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nfolium.folium.Map\nAn interactive plot of the demes and migration rates.\n\n\n\n\n\n\nraster = rasterio.open(“path/to/raster.tif”) # Plot the model at timestep 1 plot_model(demo, raster, 1)\n\n\n\nSince this function returns a folium map object, you can further modify the map or save it to an HTML file with the folium library.",
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+    "text": "raster = rasterio.open(“path/to/raster.tif”) # Plot the model at timestep 1 plot_model(demo, raster, 1)",
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+    "text": "Since this function returns a folium map object, you can further modify the map or save it to an HTML file with the folium library.",
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+    "text": "Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.\nYou can contribute in many ways:\n\n\n\n\nReport bugs at https://github.com/connor-french/spaceprime/issues.\nIf you are reporting a bug, please include:\n\nYour operating system name and version.\nAny details about your local setup that might be helpful in troubleshooting.\nDetailed steps to reproduce the bug.\n\n\n\n\nLook through the GitHub issues for bugs. Anything tagged with bug and help wanted is open to whoever wants to implement it.\n\n\n\nLook through the GitHub issues for features. Anything tagged with enhancement and help wanted is open to whoever wants to implement it.\n\n\n\nspaceprime could always use more documentation, whether as part of the official spaceprime docs, in docstrings, or even on the web in blog posts, articles, and such.\n\n\n\nThe best way to send feedback is to file an issue at https://github.com/connor-french/spaceprime/issues.\nIf you are proposing a feature:\n\nExplain in detail how it would work.\nKeep the scope as narrow as possible, to make it easier to implement.\nRemember that this is a volunteer-driven project, and that contributions are welcome :)\n\n\n\n\n\nReady to contribute? Here’s how to set up spaceprime for local development.\n\nFork the spaceprime repo on GitHub.\nClone your fork locally:\n$ git clone git@github.com:your_name_here/spaceprime.git\nInstall your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:\n$ mkvirtualenv spaceprime\n$ cd spaceprime/\n$ python setup.py develop\nCreate a branch for local development:\n$ git checkout -b name-of-your-bugfix-or-feature\nNow you can make your changes locally.\nWhen you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:\n$ flake8 spaceprime tests\n$ python setup.py test or pytest\n$ tox\nTo get flake8 and tox, just pip install them into your virtualenv.\nCommit your changes and push your branch to GitHub:\n$ git add .\n$ git commit -m \"Your detailed description of your changes.\"\n$ git push origin name-of-your-bugfix-or-feature\nSubmit a pull request through the GitHub website.\n\n\n\n\nBefore you submit a pull request, check that it meets these guidelines:\n\nThe pull request should include tests.\nIf the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.\nThe pull request should work for Python 3.8 and later, and for PyPy. Check https://github.com/connor-french/spaceprime/pull_requests and make sure that the tests pass for all supported Python versions."
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+    "text": "Report bugs at https://github.com/connor-french/spaceprime/issues.\nIf you are reporting a bug, please include:\n\nYour operating system name and version.\nAny details about your local setup that might be helpful in troubleshooting.\nDetailed steps to reproduce the bug.\n\n\n\n\nLook through the GitHub issues for bugs. Anything tagged with bug and help wanted is open to whoever wants to implement it.\n\n\n\nLook through the GitHub issues for features. Anything tagged with enhancement and help wanted is open to whoever wants to implement it.\n\n\n\nspaceprime could always use more documentation, whether as part of the official spaceprime docs, in docstrings, or even on the web in blog posts, articles, and such.\n\n\n\nThe best way to send feedback is to file an issue at https://github.com/connor-french/spaceprime/issues.\nIf you are proposing a feature:\n\nExplain in detail how it would work.\nKeep the scope as narrow as possible, to make it easier to implement.\nRemember that this is a volunteer-driven project, and that contributions are welcome :)"
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+    "text": "Ready to contribute? Here’s how to set up spaceprime for local development.\n\nFork the spaceprime repo on GitHub.\nClone your fork locally:\n$ git clone git@github.com:your_name_here/spaceprime.git\nInstall your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:\n$ mkvirtualenv spaceprime\n$ cd spaceprime/\n$ python setup.py develop\nCreate a branch for local development:\n$ git checkout -b name-of-your-bugfix-or-feature\nNow you can make your changes locally.\nWhen you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:\n$ flake8 spaceprime tests\n$ python setup.py test or pytest\n$ tox\nTo get flake8 and tox, just pip install them into your virtualenv.\nCommit your changes and push your branch to GitHub:\n$ git add .\n$ git commit -m \"Your detailed description of your changes.\"\n$ git push origin name-of-your-bugfix-or-feature\nSubmit a pull request through the GitHub website."
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+    "text": "Before you submit a pull request, check that it meets these guidelines:\n\nThe pull request should include tests.\nIf the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.\nThe pull request should work for Python 3.8 and later, and for PyPy. Check https://github.com/connor-french/spaceprime/pull_requests and make sure that the tests pass for all supported Python versions."
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+    "text": "Changelog\nAll notable changes to this project will be documented in this file. Dates are displayed in UTC.\nGenerated by auto-changelog.\n\nv0.0.3\n\n22 April 2024\n\n\nadd analysis module black fix 28ce742\nfinish first round of utilities functions- black fix 1b48527\nadd demography module and associated package updates- black fixes b4e292e\nblack fix c9d8981\nfinish up utilities 3a2daea\nupdate documentation- black fix 8f759de\nreformat function based on black 35b1d09\nfix some typing around integers- black fix 7fbec2d\nadd linting pre-commit hook 40adedf\nmore docs config 83d26aa\nclean up some files 3a8f372\ndebug demography functions black fix c575312\nfix mkdocs spacing ba3973f\nremove common module c447ef5\nclean up docs 182cfbc\nadd transformation docs 9c0dd29\nfix 4ad0fd9\nBump version: 0.0.2 → 0.0.3 70491b3\nblack fix f2384e1\nfix tests and forgot to add requirements 7ba1ef3\nfiguring out docs 753a6fe\nfix index and move stuff around 73fb2ac\nfix typo fea66dd\nadd pytest to ubuntu.yml 9520751\n\n\n\nv0.0.2\n\n4 April 2024\n\n\nadd package stuff 8de8843\nBump version: 0.0.1 → 0.0.2 43a7eb4\n\n\n\nv0.0.1\n\n4 April 2024\n\n\nfirst commit e322482"
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+    "text": "calc_migration_matrix(demes, rate, scale=True)\nCalculates a migration matrix based on deme sizes and a global migration rate. The migration rate can be scaled based on population size or set as a constant.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ndemes\nnp.ndarray\nThe 2D numpy array representing the deme sizes.\nrequired\n\n\nrate\nfloat\nThe migration rate.\nrequired\n\n\nscale\nbool\nWhether to scale the migration rate based on population size. Default is True.\nTrue\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nnp.ndarray\nThe migration matrix as a 2D numpy array.",
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+    "text": "sim_mutations(*args, **kwargs)\nA thin wrapper around msprime.sim_mutations.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\n*args\nVariable length argument list.\n\n()\n\n\n**kwargs\nArbitrary keyword arguments.\n\n{}\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nThe result of msprime.sim_mutations with the provided arguments.\n\n\n\n\n\n\n\nThis function takes the same arguments as msprime.sim_ancestry and calls it directly, allowing users to use simulation functionality within the spaceprime namespace.\nSee the msprime.sim_mutations documentation for more information: https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_mutations",
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+    "text": "Type\nDescription\n\n\n\n\nThe result of msprime.sim_mutations with the provided arguments.",
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+    "text": "This function takes the same arguments as msprime.sim_ancestry and calls it directly, allowing users to use simulation functionality within the spaceprime namespace.\nSee the msprime.sim_mutations documentation for more information: https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_mutations",
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+    "text": "spDemography.stepping_stone_2d(d, rate, scale=True, timesteps=None)\nCreate a 2D stepping stone model, either for a single time step or for multiple time steps of deme size change.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nd\nnumpy.ndarray\nThe demography matrix representing the population sizes.\nrequired\n\n\nrate\nfloat or numpy.ndarray\nThe migration rate(s) between populations. If a float, it represents a constant migration rate for all populations. If a numpy.ndarray, it represents a migration matrix with shape (T, N, N), where N is the total number of populations and T is the number of time steps - 1, if T &gt; 1.\nrequired\n\n\nscale\nbool\nWhether to scale the migration rate matrix. Default is True.\nTrue\n\n\ntimesteps\nUnion[int, List[int]]\nThe list of timesteps representing the amount of time passing between each demographic event, in generations. If a single integer is provided, the function assumes that the time steps are equal.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmsprime.Demography\nThe constructed 2d stepping stone model as an msprime.Demography object.\n\n\n\n\n\n\nThe demography matrix d should have shape (n, m) or (k, n, m), where n is the number of rows and m is the number of columns for a 2D array and k is the number of layers in a 3D array. The migration rate matrix rate should have shape (N, N), where N is the total number of populations. If there are multiple time steps of population size change, the add_landscape_change function is called to modify the model accordingly.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\nd\nnumpy.ndarray\nThe demography matrix representing the population sizes.\nrequired\n\n\nrate\nfloat or numpy.ndarray\nThe migration rate(s) between populations. If a float, it represents a constant migration rate for all populations. If a numpy.ndarray, it represents a migration matrix with shape (T, N, N), where N is the total number of populations and T is the number of time steps - 1, if T &gt; 1.\nrequired\n\n\nscale\nbool\nWhether to scale the migration rate matrix. Default is True.\nTrue\n\n\ntimesteps\nUnion[int, List[int]]\nThe list of timesteps representing the amount of time passing between each demographic event, in generations. If a single integer is provided, the function assumes that the time steps are equal.\nNone",
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+    "text": "Type\nDescription\n\n\n\n\nmsprime.Demography\nThe constructed 2d stepping stone model as an msprime.Demography object.",
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+    "text": "The demography matrix d should have shape (n, m) or (k, n, m), where n is the number of rows and m is the number of columns for a 2D array and k is the number of layers in a 3D array. The migration rate matrix rate should have shape (N, N), where N is the total number of populations. If there are multiple time steps of population size change, the add_landscape_change function is called to modify the model accordingly.",
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+    "text": "plot_landscape(demo, raster, timestep, cmap='viridis', legend=True, basemap=False)\nPlots a static map of a transformed landscape at the timestep of your choice.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ndemo\nspaceprime.spDemography\nThe demographic model to plot.\nrequired\n\n\nraster\nrasterio.DatasetReader\nThe raster dataset used to create the demes matrix(es).\nrequired\n\n\ntimestep\nint\nThe timestep to plot.\nrequired\n\n\ncmap\nstr\nThe colormap to use. Defaults to “viridis”.\n'viridis'\n\n\nlegend\nbool\nWhether to show the colorbar legend. Defaults to True.\nTrue\n\n\nbasemap\nbool\nWhether to add a basemap. Requires an internet connection. Defaults to False.\nFalse\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmatplotlib.axes.Axes\nA plot of the transformed landscape.\n\n\n\n\n\n\nSetting basemap=True requires an internet connection to download the basemap tiles. It may take some time to load the tiles depending on your internet speed. Since this function returns a matplotlib axes object, you can further modify the plot with the matplotlib library.",
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+    "text": "Setting basemap=True requires an internet connection to download the basemap tiles. It may take some time to load the tiles depending on your internet speed. Since this function returns a matplotlib axes object, you can further modify the plot with the matplotlib library.",
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+    "text": "filter_gt(gt, deme_dict_inds=None, deme_dict_anc=None, missing_data_perc=0, r2_thresh=0.1, filter_monomorphic=True, filter_singletons=True)\nFilter genotype matrices output by ts.genotype_matrix() to filter out monomorphic sites, loci in linkage disequilibrium, and recreate missing data patterns common to empirical genotype data. Returns the genotype matrix and allele counts matrix for the filtered loci, and optionally allele counts matrices for demes and ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ngt\nnp.ndarray\nThe genotype matrix.\nrequired\n\n\ndeme_dict_inds\ndict\nA dictionary containing the indices of individuals in each deme. Defaults to None.\nNone\n\n\ndeme_dict_anc\ndict\nA dictionary containing the indices of individuals in each ancestral population. Defaults to None.\nNone\n\n\nmissing_data_perc\nfloat\nThe percentage of missing data allowed. Defaults to 0.\n0\n\n\nr2_thresh\nfloat\nThe threshold for linkage disequilibrium. Defaults to 0.1.\n0.1\n\n\nfilter_monomorphic\nbool\nWhether to filter out monomorphic sites, keeping only segregating sites. Defaults to True.\nTrue\n\n\nfilter_singletons\nbool\nWhether to filter out singletons. Defaults to True.\nTrue\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nTuple[allel.GenotypeArray, allel.AlleleCountsArray, Optional[Dict[str, allel.AlleleCountsArray]], Optional[Dict[str, allel.AlleleCountsArray]]]\nA tuple containing the filtered genotype matrix, the allele counts matrix, a dictionary of allele counts matrices for demes (if deme_dict_inds is provided), and a dictionary of allele counts matrices for ancestral populations (if deme_dict_anc is provided).\n\n\n\n\n\n\nThis function uses a random mask to simulate missing data in the genotype matrix. For reproducibility it’s advised to set a np.random.seed() before calling this function.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\ngt\nnp.ndarray\nThe genotype matrix.\nrequired\n\n\ndeme_dict_inds\ndict\nA dictionary containing the indices of individuals in each deme. Defaults to None.\nNone\n\n\ndeme_dict_anc\ndict\nA dictionary containing the indices of individuals in each ancestral population. Defaults to None.\nNone\n\n\nmissing_data_perc\nfloat\nThe percentage of missing data allowed. Defaults to 0.\n0\n\n\nr2_thresh\nfloat\nThe threshold for linkage disequilibrium. Defaults to 0.1.\n0.1\n\n\nfilter_monomorphic\nbool\nWhether to filter out monomorphic sites, keeping only segregating sites. Defaults to True.\nTrue\n\n\nfilter_singletons\nbool\nWhether to filter out singletons. Defaults to True.\nTrue",
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+    "text": "coords_to_sample_dict(raster, coordinates, individual_ids=None, vcf_path=None)\nConvert sample coordinates to sample dictionaries for simulation and analysis. Can optionally include empirical data, which is accepted as a path to a VCF file.\nThis function takes a raster, a list of coordinates, and optional individual IDs and VCF path. It masks the raster with the given coordinates, retrieves the cell IDs for each individual’s locality, and returns two dictionaries: a sample dictionary containing the number of individuals to sample from the simulation, and a sample dictionary containing the range of individual indices for each cell ID. The first dictionary is used to sample individuals from the simulation, and the second dictionary is used to calculate genetic summary statistics from the sampled individuals.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nraster\nUnion[np.ndarray, rasterio.DatasetReader]\nThe raster data as a numpy array or rasterio DatasetReader object.\nrequired\n\n\ncoordinates\nUnion[List[Tuple[float, float]], gpd.GeoDataFrame]\nA list of (x, y) coordinates or a geopandas GeoDataFrame.\nrequired\n\n\nindividual_ids\nOptional[List[str]]\nA list of individual IDs corresponding to those in the VCF file, by default None.\nNone\n\n\nvcf_path\nOptional[str]\nThe path to the VCF file, by default None.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nTuple[Dict[int, int], Dict[int, np.ndarray], Optional[Dict[int, np.ndarray]]]\nA tuple containing two or three dictionaries. The first dictionary contains the number of individuals to sample from the simulation for each cell ID. The second dictionary contains the indices of individuals for each cell ID. The third, optional dictionary contains the indices of individuals in the VCF file for each cell ID.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\nraster\nUnion[np.ndarray, rasterio.DatasetReader]\nThe raster data as a numpy array or rasterio DatasetReader object.\nrequired\n\n\ncoordinates\nUnion[List[Tuple[float, float]], gpd.GeoDataFrame]\nA list of (x, y) coordinates or a geopandas GeoDataFrame.\nrequired\n\n\nindividual_ids\nOptional[List[str]]\nA list of individual IDs corresponding to those in the VCF file, by default None.\nNone\n\n\nvcf_path\nOptional[str]\nThe path to the VCF file, by default None.\nNone",
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+    "text": "Type\nDescription\n\n\n\n\nTuple[Dict[int, int], Dict[int, np.ndarray], Optional[Dict[int, np.ndarray]]]\nA tuple containing two or three dictionaries. The first dictionary contains the number of individuals to sample from the simulation for each cell ID. The second dictionary contains the indices of individuals for each cell ID. The third, optional dictionary contains the indices of individuals in the VCF file for each cell ID.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\ndemo\nspaceprime.spDemography\nThe demographic model to plot.\nrequired\n\n\ntimes\nList[float]\nA list of times that each landscape timestep corresponds with. This can be in whatever unit you choose.\nrequired\n\n\nunits\nstr\nThe units of time the timesteps are specified in. Defaults to a blank string.\n''",
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+    "text": "Type\nDescription\n\n\n\n\ntuple\nA tuple containing the figure and axes objects of the plot.",
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+    "text": "create_raster(data, reference_raster, out_folder, out_prefix)\nCreates a raster dataset from a numpy array and reference raster and writes it to a new GeoTiff file. The new raster dataset will have the same dimensions, crs, and transform as the reference raster.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ndata\nnp.ndarray\nThe numpy array containing the data you want for the raster.\nrequired\n\n\nreference_raster\nrasterio.DatasetReader\nThe reference rasterio DatasetReader object.\nrequired\n\n\nout_folder\nstr\nThe output folder location where the new raster dataset will be saved.\nrequired\n\n\nout_prefix\nstr\nThe prefix for the output file name.\nrequired\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nNone\nThe function writes the new raster dataset to the output file location",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\ndata\nnp.ndarray\nThe numpy array containing the data you want for the raster.\nrequired\n\n\nreference_raster\nrasterio.DatasetReader\nThe reference rasterio DatasetReader object.\nrequired\n\n\nout_folder\nstr\nThe output folder location where the new raster dataset will be saved.\nrequired\n\n\nout_prefix\nstr\nThe prefix for the output file name.\nrequired",
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+    "title": "create_raster",
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+    "text": "Type\nDescription\n\n\n\n\nNone\nThe function writes the new raster dataset to the output file location",
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+    "text": "spDemography.add_ancestral_populations(anc_sizes, merge_time, anc_id=None, anc_merge_times=None, anc_merge_sizes=None, migration_rate=None)\nAdds ancestral populations to the given demographic model, mapping demes in the spatial simulation to ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nanc_sizes\nList[float]\nA list of ancestral population sizes.\nrequired\n\n\nmerge_time\nUnion[float, int]\nThe time at which all demes in the spatial simulation merge into one or more ancestral populations.\nrequired\n\n\nanc_id\nOptional[np.ndarray]\nAn array of ancestral population IDs- the output of [split_landscape_by_pop][utilities.split_landscape_by_pop]. Defaults to None.\nNone\n\n\nanc_merge_times\nOptional[List[float]]\nA list of merge times for ancestral populations. Defaults to None.\nNone\n\n\nanc_merge_sizes\nOptional[List[float]]\nA list of sizes for merged ancestral populations. Defaults to None.\nNone\n\n\nmigration_rate\nOptional[float]\nThe symmetric migration rate between ancestral populations. Defaults to None.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nmsprime.Demography\nThe demographic model with the added ancestral populations.\n\n\n\n\n\n\n\n\n\n\n\n\n\nType\nDescription\n\n\n\n\nValueError\nIf the model already contains ancestral populations.\n\n\nValueError\nIf the number of demes in the demographic model does not match the number of demes in the admixture ID raster.\n\n\n\n\n\n\nThe function adds ancestral populations to the given demographic model. If anc_id is not provided, a single ancestral population is added with the initial size specified in anc_sizes[0]. If anc_id is provided, a new ancestral population is added for each admixture population, with sizes specified in anc_sizes. The demes in the simulation are then merged into their respective ancestral populations based on the values in anc_id. If anc_merge_times is provided, the ancestral populations are merged at the specified times. If migration_rate is provided, symmetric migration is allowed between ancestral populations.",
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+    "text": "Name\nType\nDescription\nDefault\n\n\n\n\nanc_sizes\nList[float]\nA list of ancestral population sizes.\nrequired\n\n\nmerge_time\nUnion[float, int]\nThe time at which all demes in the spatial simulation merge into one or more ancestral populations.\nrequired\n\n\nanc_id\nOptional[np.ndarray]\nAn array of ancestral population IDs- the output of [split_landscape_by_pop][utilities.split_landscape_by_pop]. Defaults to None.\nNone\n\n\nanc_merge_times\nOptional[List[float]]\nA list of merge times for ancestral populations. Defaults to None.\nNone\n\n\nanc_merge_sizes\nOptional[List[float]]\nA list of sizes for merged ancestral populations. Defaults to None.\nNone\n\n\nmigration_rate\nOptional[float]\nThe symmetric migration rate between ancestral populations. Defaults to None.\nNone",
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+    "title": "spDemography.add_ancestral_populations",
+    "section": "",
+    "text": "Type\nDescription\n\n\n\n\nmsprime.Demography\nThe demographic model with the added ancestral populations.",
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+    "title": "spDemography.add_ancestral_populations",
+    "section": "",
+    "text": "Type\nDescription\n\n\n\n\nValueError\nIf the model already contains ancestral populations.\n\n\nValueError\nIf the number of demes in the demographic model does not match the number of demes in the admixture ID raster.",
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+    "text": "The function adds ancestral populations to the given demographic model. If anc_id is not provided, a single ancestral population is added with the initial size specified in anc_sizes[0]. If anc_id is provided, a new ancestral population is added for each admixture population, with sizes specified in anc_sizes. The demes in the simulation are then merged into their respective ancestral populations based on the values in anc_id. If anc_merge_times is provided, the ancestral populations are merged at the specified times. If migration_rate is provided, symmetric migration is allowed between ancestral populations.",
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+    "text": "All transformations are performed on a raster with 0-1 suitability values (or a raster that will be normalized to 0-1). The output of the transformation is an array of the same shape as the input raster, but with values transformed according to the specified function.\nThe “linear” transformation multiplies the input values by the maximum local deme size (max_local_size).\nThe “threshold” transformation creates an array where values below the threshold value are set to zero and values about the threshold value are set to 1.\nThe “sigmoid” transformation applies a sigmoid function to the data using Eq. 1 from Frazier and Wang 2013, Modeling landscape structure response across a gradient of land cover intensity, where an inflection_point and slope are specified. The inflection_point can be thought of like a threshold value, where original values below this value descend quicker to zero, and values about this value increase quicker to 1. The slope determines how fast values change on either side of the inflection point. A sufficiently steep slope makes this a threshold function, while a sufficiently shallow slope makes this a linear function."
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diff --git a/site_libs/bootstrap/bootstrap.min.css b/site_libs/bootstrap/bootstrap.min.css
new file mode 100644
index 0000000..e9bfad3
--- /dev/null
+++ b/site_libs/bootstrap/bootstrap.min.css
@@ -0,0 +1,12 @@
+/*!
+ * Bootstrap  v5.3.1 (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */:root,[data-bs-theme=light]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #ffffff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #0d6efd;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222, 226, 230;--bs-primary-rgb: 13, 110, 253;--bs-secondary-rgb: 108, 117, 125;--bs-success-rgb: 25, 135, 84;--bs-info-rgb: 13, 202, 240;--bs-warning-rgb: 255, 193, 7;--bs-danger-rgb: 220, 53, 69;--bs-light-rgb: 248, 249, 250;--bs-dark-rgb: 33, 37, 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30'%3e%3cpath stroke='%23545555' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%23545555' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: 1px;--bs-card-border-color: rgba(0, 0, 0, 0.175);--bs-card-border-radius: 0.25rem;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(0.25rem - 1px);--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(52, 58, 64, 0.25);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: #ffffff;--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 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var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 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.nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 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6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: #052c65;--bs-accordion-active-bg: #cfe2ff}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(33, 37, 41, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(33, 37, 41, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #0d6efd;--bs-pagination-bg: #ffffff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #0a58ca;--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: #0a58ca;--bs-pagination-focus-bg: #e9ecef;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #ffffff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: rgba(33, 37, 41, 0.75);--bs-pagination-disabled-bg: #e9ecef;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #ffffff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #e9ecef;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #ffffff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #212529;--bs-list-group-bg: #ffffff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(33, 37, 41, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #212529;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: rgba(33, 37, 41, 0.75);--bs-list-group-disabled-bg: #ffffff;--bs-list-group-active-color: #ffffff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(33, 37, 41, 0.75);--bs-toast-header-bg: rgba(255, 255, 255, 0.85);--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 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i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(Mt),this._element.classList.add(Pt,Nt),this._element.style[e]="",N.trigger(this._element,St)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(N.trigger(this._element,Dt).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,d(this._element),this._element.classList.add(Mt),this._element.classList.remove(Pt,Nt);for(const t of this._triggerArray){const e=z.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(Mt),this._element.classList.add(Pt),N.trigger(this._element,$t)}),this._element,!0)}_isShown(t=this._element){return 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s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function mi(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?fi:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},fi,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof 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vi=Object.freeze(Object.defineProperty({__proto__:null,afterMain:ae,afterRead:se,afterWrite:he,applyStyles:_e,arrow:je,auto:Kt,basePlacements:Qt,beforeMain:oe,beforeRead:ie,beforeWrite:le,bottom:Rt,clippingParents:Ut,computeStyles:Be,createPopper:bi,createPopperBase:gi,createPopperLite:_i,detectOverflow:ii,end:Yt,eventListeners:Re,flip:si,hide:ai,left:Vt,main:re,modifierPhases:de,offset:li,placements:ee,popper:Jt,popperGenerator:mi,popperOffsets:ci,preventOverflow:hi,read:ne,reference:Zt,right:qt,start:Xt,top:zt,variationPlacements:te,viewport:Gt,write:ce},Symbol.toStringTag,{value:"Module"})),yi="dropdown",wi=".bs.dropdown",Ai=".data-api",Ei="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ai}`,Si=`keydown${wi}${Ai}`,Di=`keyup${wi}${Ai}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=p()?"top-end":"top-start",ji=p()?"top-start":"top-end",Fi=p()?"bottom-end":"bottom-start",Hi=p()?"bottom-start":"bottom-end",Wi=p()?"left-start":"right-start",Bi=p()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends W{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=z.next(this._element,Pi)[0]||z.prev(this._element,Pi)[0]||z.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!N.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),N.trigger(this._element,ki,t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!N.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),F.removeDataAttribute(this._menu,"popper"),N.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===vi)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:o(this._config.reference)?t=r(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=bi(t,this._menu,e)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return Bi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return 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\ No newline at end of file
diff --git a/site_libs/clipboard/clipboard.min.js b/site_libs/clipboard/clipboard.min.js
new file mode 100644
index 0000000..1103f81
--- /dev/null
+++ b/site_libs/clipboard/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
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+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
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diff --git a/site_libs/quarto-html/anchor.min.js b/site_libs/quarto-html/anchor.min.js
new file mode 100644
index 0000000..5ac814d
--- /dev/null
+++ b/site_libs/quarto-html/anchor.min.js
@@ -0,0 +1,9 @@
+// @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&dn=expat.txt Expat
+//
+// AnchorJS - v5.0.0 - 2023-01-18
+// https://www.bryanbraun.com/anchorjs/
+// Copyright (c) 2023 Bryan Braun; Licensed MIT
+//
+// @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&dn=expat.txt Expat
+!function(A,e){"use strict";"function"==typeof define&&define.amd?define([],e):"object"==typeof module&&module.exports?module.exports=e():(A.AnchorJS=e(),A.anchors=new A.AnchorJS)}(globalThis,function(){"use strict";return function(A){function u(A){A.icon=Object.prototype.hasOwnProperty.call(A,"icon")?A.icon:"",A.visible=Object.prototype.hasOwnProperty.call(A,"visible")?A.visible:"hover",A.placement=Object.prototype.hasOwnProperty.call(A,"placement")?A.placement:"right",A.ariaLabel=Object.prototype.hasOwnProperty.call(A,"ariaLabel")?A.ariaLabel:"Anchor",A.class=Object.prototype.hasOwnProperty.call(A,"class")?A.class:"",A.base=Object.prototype.hasOwnProperty.call(A,"base")?A.base:"",A.truncate=Object.prototype.hasOwnProperty.call(A,"truncate")?Math.floor(A.truncate):64,A.titleText=Object.prototype.hasOwnProperty.call(A,"titleText")?A.titleText:""}function d(A){var e;if("string"==typeof A||A instanceof String)e=[].slice.call(document.querySelectorAll(A));else{if(!(Array.isArray(A)||A instanceof NodeList))throw new TypeError("The selector provided to AnchorJS was invalid.");e=[].slice.call(A)}return e}this.options=A||{},this.elements=[],u(this.options),this.add=function(A){var e,t,o,i,n,s,a,r,l,c,h,p=[];if(u(this.options),0!==(e=d(A=A||"h2, h3, h4, h5, h6")).length){for(null===document.head.querySelector("style.anchorjs")&&((A=document.createElement("style")).className="anchorjs",A.appendChild(document.createTextNode("")),void 0===(h=document.head.querySelector('[rel="stylesheet"],style'))?document.head.appendChild(A):document.head.insertBefore(A,h),A.sheet.insertRule(".anchorjs-link{opacity:0;text-decoration:none;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}",A.sheet.cssRules.length),A.sheet.insertRule(":hover>.anchorjs-link,.anchorjs-link:focus{opacity:1}",A.sheet.cssRules.length),A.sheet.insertRule("[data-anchorjs-icon]::after{content:attr(data-anchorjs-icon)}",A.sheet.cssRules.length),A.sheet.insertRule('@font-face{font-family:anchorjs-icons;src:url(data:n/a;base64,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) format("truetype")}',A.sheet.cssRules.length)),h=document.querySelectorAll("[id]"),t=[].map.call(h,function(A){return A.id}),i=0;i<e.length;i++)if(this.hasAnchorJSLink(e[i]))p.push(i);else{if(e[i].hasAttribute("id"))o=e[i].getAttribute("id");else if(e[i].hasAttribute("data-anchor-id"))o=e[i].getAttribute("data-anchor-id");else{for(r=a=this.urlify(e[i].textContent),s=0;n=t.indexOf(r=void 0!==n?a+"-"+s:r),s+=1,-1!==n;);n=void 0,t.push(r),e[i].setAttribute("id",r),o=r}(l=document.createElement("a")).className="anchorjs-link "+this.options.class,l.setAttribute("aria-label",this.options.ariaLabel),l.setAttribute("data-anchorjs-icon",this.options.icon),this.options.titleText&&(l.title=this.options.titleText),c=document.querySelector("base")?window.location.pathname+window.location.search:"",c=this.options.base||c,l.href=c+"#"+o,"always"===this.options.visible&&(l.style.opacity="1"),""===this.options.icon&&(l.style.font="1em/1 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+$,:;=?@"#{}|^~[`%!'<>\]./()*\\\n\t\b\v\u00A0]/g,"-").replace(/-{2,}/g,"-").substring(0,this.options.truncate).replace(/^-+|-+$/gm,"").toLowerCase()},this.hasAnchorJSLink=function(A){var e=A.firstChild&&-1<(" "+A.firstChild.className+" ").indexOf(" anchorjs-link "),A=A.lastChild&&-1<(" "+A.lastChild.className+" ").indexOf(" anchorjs-link ");return e||A||!1}}});
+// @license-end
\ No newline at end of file
diff --git a/site_libs/quarto-html/popper.min.js b/site_libs/quarto-html/popper.min.js
new file mode 100644
index 0000000..e3726d7
--- /dev/null
+++ b/site_libs/quarto-html/popper.min.js
@@ -0,0 +1,6 @@
+/**
+ * @popperjs/core v2.11.7 - MIT License
+ */
+
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Popper={})}(this,(function(e){"use strict";function t(e){if(null==e)return window;if("[object Window]"!==e.toString()){var t=e.ownerDocument;return t&&t.defaultView||window}return e}function n(e){return e instanceof t(e).Element||e instanceof Element}function r(e){return e instanceof t(e).HTMLElement||e instanceof HTMLElement}function o(e){return"undefined"!=typeof ShadowRoot&&(e instanceof t(e).ShadowRoot||e instanceof ShadowRoot)}var i=Math.max,a=Math.min,s=Math.round;function f(){var e=navigator.userAgentData;return null!=e&&e.brands&&Array.isArray(e.brands)?e.brands.map((function(e){return e.brand+"/"+e.version})).join(" "):navigator.userAgent}function c(){return!/^((?!chrome|android).)*safari/i.test(f())}function p(e,o,i){void 0===o&&(o=!1),void 0===i&&(i=!1);var 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ie={name:"applyStyles",enabled:!0,phase:"write",fn:function(e){var t=e.state;Object.keys(t.elements).forEach((function(e){var n=t.styles[e]||{},o=t.attributes[e]||{},i=t.elements[e];r(i)&&l(i)&&(Object.assign(i.style,n),Object.keys(o).forEach((function(e){var t=o[e];!1===t?i.removeAttribute(e):i.setAttribute(e,!0===t?"":t)})))}))},effect:function(e){var t=e.state,n={popper:{position:t.options.strategy,left:"0",top:"0",margin:"0"},arrow:{position:"absolute"},reference:{}};return Object.assign(t.elements.popper.style,n.popper),t.styles=n,t.elements.arrow&&Object.assign(t.elements.arrow.style,n.arrow),function(){Object.keys(t.elements).forEach((function(e){var o=t.elements[e],i=t.attributes[e]||{},a=Object.keys(t.styles.hasOwnProperty(e)?t.styles[e]:n[e]).reduce((function(e,t){return e[t]="",e}),{});r(o)&&l(o)&&(Object.assign(o.style,a),Object.keys(i).forEach((function(e){o.removeAttribute(e)})))}))}},requires:["computeStyles"]};var 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r>n?n:r}(we,me,Oe):de(m?we:ye,me,m?Oe:ge);k[M]=je,V[M]=je-me}t.modifiersData[r]=V}},requiresIfExists:["offset"]};var me={name:"arrow",enabled:!0,phase:"main",fn:function(e){var t,n=e.state,r=e.name,o=e.options,i=n.elements.arrow,a=n.modifiersData.popperOffsets,s=C(n.placement),f=z(s),c=[P,L].indexOf(s)>=0?"height":"width";if(i&&a){var p=function(e,t){return Y("number"!=typeof(e="function"==typeof e?e(Object.assign({},t.rects,{placement:t.placement})):e)?e:G(e,k))}(o.padding,n),u=g(i),l="y"===f?D:P,d="y"===f?A:L,h=n.rects.reference[c]+n.rects.reference[f]-a[f]-n.rects.popper[c],m=a[f]-n.rects.reference[f],v=E(i),y=v?"y"===f?v.clientHeight||0:v.clientWidth||0:0,b=h/2-m/2,x=p[l],w=y-u[c]-p[d],O=y/2-u[c]/2+b,j=de(x,O,w),M=f;n.modifiersData[r]=((t={})[M]=j,t.centerOffset=j-O,t)}},effect:function(e){var t=e.state,n=e.options.element,r=void 0===n?"[data-popper-arrow]":n;null!=r&&("string"!=typeof r||(r=t.elements.popper.querySelector(r)))&&N(t.elements.popper,r)&&(t.elements.arrow=r)},requires:["popperOffsets"],requiresIfExists:["preventOverflow"]};function ve(e,t,n){return void 0===n&&(n={x:0,y:0}),{top:e.top-t.height-n.y,right:e.right-t.width+n.x,bottom:e.bottom-t.height+n.y,left:e.left-t.width-n.x}}function ye(e){return[D,L,A,P].some((function(t){return e[t]>=0}))}var ge={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(e){var t=e.state,n=e.name,r=t.rects.reference,o=t.rects.popper,i=t.modifiersData.preventOverflow,a=J(t,{elementContext:"reference"}),s=J(t,{altBoundary:!0}),f=ve(a,r),c=ve(s,o,i),p=ye(f),u=ye(c);t.modifiersData[n]={referenceClippingOffsets:f,popperEscapeOffsets:c,isReferenceHidden:p,hasPopperEscaped:u},t.attributes.popper=Object.assign({},t.attributes.popper,{"data-popper-reference-hidden":p,"data-popper-escaped":u})}},be=Z({defaultModifiers:[ee,te,oe,ie]}),xe=[ee,te,oe,ie,ae,le,he,me,ge],we=Z({defaultModifiers:xe});e.applyStyles=ie,e.arrow=me,e.computeStyles=oe,e.createPopper=we,e.createPopperLite=be,e.defaultModifiers=xe,e.detectOverflow=J,e.eventListeners=ee,e.flip=le,e.hide=ge,e.offset=ae,e.popperGenerator=Z,e.popperOffsets=te,e.preventOverflow=he,Object.defineProperty(e,"__esModule",{value:!0})}));
+
diff --git a/site_libs/quarto-html/quarto-syntax-highlighting.css b/site_libs/quarto-html/quarto-syntax-highlighting.css
new file mode 100644
index 0000000..b30ce57
--- /dev/null
+++ b/site_libs/quarto-html/quarto-syntax-highlighting.css
@@ -0,0 +1,205 @@
+/* quarto syntax highlight colors */
+:root {
+  --quarto-hl-ot-color: #003B4F;
+  --quarto-hl-at-color: #657422;
+  --quarto-hl-ss-color: #20794D;
+  --quarto-hl-an-color: #5E5E5E;
+  --quarto-hl-fu-color: #4758AB;
+  --quarto-hl-st-color: #20794D;
+  --quarto-hl-cf-color: #003B4F;
+  --quarto-hl-op-color: #5E5E5E;
+  --quarto-hl-er-color: #AD0000;
+  --quarto-hl-bn-color: #AD0000;
+  --quarto-hl-al-color: #AD0000;
+  --quarto-hl-va-color: #111111;
+  --quarto-hl-bu-color: inherit;
+  --quarto-hl-ex-color: inherit;
+  --quarto-hl-pp-color: #AD0000;
+  --quarto-hl-in-color: #5E5E5E;
+  --quarto-hl-vs-color: #20794D;
+  --quarto-hl-wa-color: #5E5E5E;
+  --quarto-hl-do-color: #5E5E5E;
+  --quarto-hl-im-color: #00769E;
+  --quarto-hl-ch-color: #20794D;
+  --quarto-hl-dt-color: #AD0000;
+  --quarto-hl-fl-color: #AD0000;
+  --quarto-hl-co-color: #5E5E5E;
+  --quarto-hl-cv-color: #5E5E5E;
+  --quarto-hl-cn-color: #8f5902;
+  --quarto-hl-sc-color: #5E5E5E;
+  --quarto-hl-dv-color: #AD0000;
+  --quarto-hl-kw-color: #003B4F;
+}
+
+/* other quarto variables */
+:root {
+  --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
+}
+
+pre > code.sourceCode > span {
+  color: #003B4F;
+}
+
+code span {
+  color: #003B4F;
+}
+
+code.sourceCode > span {
+  color: #003B4F;
+}
+
+div.sourceCode,
+div.sourceCode pre.sourceCode {
+  color: #003B4F;
+}
+
+code span.ot {
+  color: #003B4F;
+  font-style: inherit;
+}
+
+code span.at {
+  color: #657422;
+  font-style: inherit;
+}
+
+code span.ss {
+  color: #20794D;
+  font-style: inherit;
+}
+
+code span.an {
+  color: #5E5E5E;
+  font-style: inherit;
+}
+
+code span.fu {
+  color: #4758AB;
+  font-style: inherit;
+}
+
+code span.st {
+  color: #20794D;
+  font-style: inherit;
+}
+
+code span.cf {
+  color: #003B4F;
+  font-weight: bold;
+  font-style: inherit;
+}
+
+code span.op {
+  color: #5E5E5E;
+  font-style: inherit;
+}
+
+code span.er {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.bn {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.al {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.va {
+  color: #111111;
+  font-style: inherit;
+}
+
+code span.bu {
+  font-style: inherit;
+}
+
+code span.ex {
+  font-style: inherit;
+}
+
+code span.pp {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.in {
+  color: #5E5E5E;
+  font-style: inherit;
+}
+
+code span.vs {
+  color: #20794D;
+  font-style: inherit;
+}
+
+code span.wa {
+  color: #5E5E5E;
+  font-style: italic;
+}
+
+code span.do {
+  color: #5E5E5E;
+  font-style: italic;
+}
+
+code span.im {
+  color: #00769E;
+  font-style: inherit;
+}
+
+code span.ch {
+  color: #20794D;
+  font-style: inherit;
+}
+
+code span.dt {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.fl {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.co {
+  color: #5E5E5E;
+  font-style: inherit;
+}
+
+code span.cv {
+  color: #5E5E5E;
+  font-style: italic;
+}
+
+code span.cn {
+  color: #8f5902;
+  font-style: inherit;
+}
+
+code span.sc {
+  color: #5E5E5E;
+  font-style: inherit;
+}
+
+code span.dv {
+  color: #AD0000;
+  font-style: inherit;
+}
+
+code span.kw {
+  color: #003B4F;
+  font-weight: bold;
+  font-style: inherit;
+}
+
+.prevent-inlining {
+  content: "</";
+}
+
+/*# sourceMappingURL=debc5d5d77c3f9108843748ff7464032.css.map */
diff --git a/site_libs/quarto-html/quarto.js b/site_libs/quarto-html/quarto.js
new file mode 100644
index 0000000..39e6869
--- /dev/null
+++ b/site_libs/quarto-html/quarto.js
@@ -0,0 +1,908 @@
+const sectionChanged = new CustomEvent("quarto-sectionChanged", {
+  detail: {},
+  bubbles: true,
+  cancelable: false,
+  composed: false,
+});
+
+const layoutMarginEls = () => {
+  // Find any conflicting margin elements and add margins to the
+  // top to prevent overlap
+  const marginChildren = window.document.querySelectorAll(
+    ".column-margin.column-container > *, .margin-caption, .aside"
+  );
+
+  let lastBottom = 0;
+  for (const marginChild of marginChildren) {
+    if (marginChild.offsetParent !== null) {
+      // clear the top margin so we recompute it
+      marginChild.style.marginTop = null;
+      const top = marginChild.getBoundingClientRect().top + window.scrollY;
+      if (top < lastBottom) {
+        const marginChildStyle = window.getComputedStyle(marginChild);
+        const marginBottom = parseFloat(marginChildStyle["marginBottom"]);
+        const margin = lastBottom - top + marginBottom;
+        marginChild.style.marginTop = `${margin}px`;
+      }
+      const styles = window.getComputedStyle(marginChild);
+      const marginTop = parseFloat(styles["marginTop"]);
+      lastBottom = top + marginChild.getBoundingClientRect().height + marginTop;
+    }
+  }
+};
+
+window.document.addEventListener("DOMContentLoaded", function (_event) {
+  // Recompute the position of margin elements anytime the body size changes
+  if (window.ResizeObserver) {
+    const resizeObserver = new window.ResizeObserver(
+      throttle(() => {
+        layoutMarginEls();
+        if (
+          window.document.body.getBoundingClientRect().width < 990 &&
+          isReaderMode()
+        ) {
+          quartoToggleReader();
+        }
+      }, 50)
+    );
+    resizeObserver.observe(window.document.body);
+  }
+
+  const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]');
+  const sidebarEl = window.document.getElementById("quarto-sidebar");
+  const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left");
+  const marginSidebarEl = window.document.getElementById(
+    "quarto-margin-sidebar"
+  );
+  // function to determine whether the element has a previous sibling that is active
+  const prevSiblingIsActiveLink = (el) => {
+    const sibling = el.previousElementSibling;
+    if (sibling && sibling.tagName === "A") {
+      return sibling.classList.contains("active");
+    } else {
+      return false;
+    }
+  };
+
+  // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior)
+  function fireSlideEnter(e) {
+    const event = window.document.createEvent("Event");
+    event.initEvent("slideenter", true, true);
+    window.document.dispatchEvent(event);
+  }
+  const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]');
+  tabs.forEach((tab) => {
+    tab.addEventListener("shown.bs.tab", fireSlideEnter);
+  });
+
+  // fire slideEnter for tabby tab activations (for htmlwidget resize behavior)
+  document.addEventListener("tabby", fireSlideEnter, false);
+
+  // Track scrolling and mark TOC links as active
+  // get table of contents and sidebar (bail if we don't have at least one)
+  const tocLinks = tocEl
+    ? [...tocEl.querySelectorAll("a[data-scroll-target]")]
+    : [];
+  const makeActive = (link) => tocLinks[link].classList.add("active");
+  const removeActive = (link) => tocLinks[link].classList.remove("active");
+  const removeAllActive = () =>
+    [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link));
+
+  // activate the anchor for a section associated with this TOC entry
+  tocLinks.forEach((link) => {
+    link.addEventListener("click", () => {
+      if (link.href.indexOf("#") !== -1) {
+        const anchor = link.href.split("#")[1];
+        const heading = window.document.querySelector(
+          `[data-anchor-id="${anchor}"]`
+        );
+        if (heading) {
+          // Add the class
+          heading.classList.add("reveal-anchorjs-link");
+
+          // function to show the anchor
+          const handleMouseout = () => {
+            heading.classList.remove("reveal-anchorjs-link");
+            heading.removeEventListener("mouseout", handleMouseout);
+          };
+
+          // add a function to clear the anchor when the user mouses out of it
+          heading.addEventListener("mouseout", handleMouseout);
+        }
+      }
+    });
+  });
+
+  const sections = tocLinks.map((link) => {
+    const target = link.getAttribute("data-scroll-target");
+    if (target.startsWith("#")) {
+      return window.document.getElementById(decodeURI(`${target.slice(1)}`));
+    } else {
+      return window.document.querySelector(decodeURI(`${target}`));
+    }
+  });
+
+  const sectionMargin = 200;
+  let currentActive = 0;
+  // track whether we've initialized state the first time
+  let init = false;
+
+  const updateActiveLink = () => {
+    // The index from bottom to top (e.g. reversed list)
+    let sectionIndex = -1;
+    if (
+      window.innerHeight + window.pageYOffset >=
+      window.document.body.offsetHeight
+    ) {
+      // This is the no-scroll case where last section should be the active one
+      sectionIndex = 0;
+    } else {
+      // This finds the last section visible on screen that should be made active
+      sectionIndex = [...sections].reverse().findIndex((section) => {
+        if (section) {
+          return window.pageYOffset >= section.offsetTop - sectionMargin;
+        } else {
+          return false;
+        }
+      });
+    }
+    if (sectionIndex > -1) {
+      const current = sections.length - sectionIndex - 1;
+      if (current !== currentActive) {
+        removeAllActive();
+        currentActive = current;
+        makeActive(current);
+        if (init) {
+          window.dispatchEvent(sectionChanged);
+        }
+        init = true;
+      }
+    }
+  };
+
+  const inHiddenRegion = (top, bottom, hiddenRegions) => {
+    for (const region of hiddenRegions) {
+      if (top <= region.bottom && bottom >= region.top) {
+        return true;
+      }
+    }
+    return false;
+  };
+
+  const categorySelector = "header.quarto-title-block .quarto-category";
+  const activateCategories = (href) => {
+    // Find any categories
+    // Surround them with a link pointing back to:
+    // #category=Authoring
+    try {
+      const categoryEls = window.document.querySelectorAll(categorySelector);
+      for (const categoryEl of categoryEls) {
+        const categoryText = categoryEl.textContent;
+        if (categoryText) {
+          const link = `${href}#category=${encodeURIComponent(categoryText)}`;
+          const linkEl = window.document.createElement("a");
+          linkEl.setAttribute("href", link);
+          for (const child of categoryEl.childNodes) {
+            linkEl.append(child);
+          }
+          categoryEl.appendChild(linkEl);
+        }
+      }
+    } catch {
+      // Ignore errors
+    }
+  };
+  function hasTitleCategories() {
+    return window.document.querySelector(categorySelector) !== null;
+  }
+
+  function offsetRelativeUrl(url) {
+    const offset = getMeta("quarto:offset");
+    return offset ? offset + url : url;
+  }
+
+  function offsetAbsoluteUrl(url) {
+    const offset = getMeta("quarto:offset");
+    const baseUrl = new URL(offset, window.location);
+
+    const projRelativeUrl = url.replace(baseUrl, "");
+    if (projRelativeUrl.startsWith("/")) {
+      return projRelativeUrl;
+    } else {
+      return "/" + projRelativeUrl;
+    }
+  }
+
+  // read a meta tag value
+  function getMeta(metaName) {
+    const metas = window.document.getElementsByTagName("meta");
+    for (let i = 0; i < metas.length; i++) {
+      if (metas[i].getAttribute("name") === metaName) {
+        return metas[i].getAttribute("content");
+      }
+    }
+    return "";
+  }
+
+  async function findAndActivateCategories() {
+    const currentPagePath = offsetAbsoluteUrl(window.location.href);
+    const response = await fetch(offsetRelativeUrl("listings.json"));
+    if (response.status == 200) {
+      return response.json().then(function (listingPaths) {
+        const listingHrefs = [];
+        for (const listingPath of listingPaths) {
+          const pathWithoutLeadingSlash = listingPath.listing.substring(1);
+          for (const item of listingPath.items) {
+            if (
+              item === currentPagePath ||
+              item === currentPagePath + "index.html"
+            ) {
+              // Resolve this path against the offset to be sure
+              // we already are using the correct path to the listing
+              // (this adjusts the listing urls to be rooted against
+              // whatever root the page is actually running against)
+              const relative = offsetRelativeUrl(pathWithoutLeadingSlash);
+              const baseUrl = window.location;
+              const resolvedPath = new URL(relative, baseUrl);
+              listingHrefs.push(resolvedPath.pathname);
+              break;
+            }
+          }
+        }
+
+        // Look up the tree for a nearby linting and use that if we find one
+        const nearestListing = findNearestParentListing(
+          offsetAbsoluteUrl(window.location.pathname),
+          listingHrefs
+        );
+        if (nearestListing) {
+          activateCategories(nearestListing);
+        } else {
+          // See if the referrer is a listing page for this item
+          const referredRelativePath = offsetAbsoluteUrl(document.referrer);
+          const referrerListing = listingHrefs.find((listingHref) => {
+            const isListingReferrer =
+              listingHref === referredRelativePath ||
+              listingHref === referredRelativePath + "index.html";
+            return isListingReferrer;
+          });
+
+          if (referrerListing) {
+            // Try to use the referrer if possible
+            activateCategories(referrerListing);
+          } else if (listingHrefs.length > 0) {
+            // Otherwise, just fall back to the first listing
+            activateCategories(listingHrefs[0]);
+          }
+        }
+      });
+    }
+  }
+  if (hasTitleCategories()) {
+    findAndActivateCategories();
+  }
+
+  const findNearestParentListing = (href, listingHrefs) => {
+    if (!href || !listingHrefs) {
+      return undefined;
+    }
+    // Look up the tree for a nearby linting and use that if we find one
+    const relativeParts = href.substring(1).split("/");
+    while (relativeParts.length > 0) {
+      const path = relativeParts.join("/");
+      for (const listingHref of listingHrefs) {
+        if (listingHref.startsWith(path)) {
+          return listingHref;
+        }
+      }
+      relativeParts.pop();
+    }
+
+    return undefined;
+  };
+
+  const manageSidebarVisiblity = (el, placeholderDescriptor) => {
+    let isVisible = true;
+    let elRect;
+
+    return (hiddenRegions) => {
+      if (el === null) {
+        return;
+      }
+
+      // Find the last element of the TOC
+      const lastChildEl = el.lastElementChild;
+
+      if (lastChildEl) {
+        // Converts the sidebar to a menu
+        const convertToMenu = () => {
+          for (const child of el.children) {
+            child.style.opacity = 0;
+            child.style.overflow = "hidden";
+            child.style.pointerEvents = "none";
+          }
+
+          nexttick(() => {
+            const toggleContainer = window.document.createElement("div");
+            toggleContainer.style.width = "100%";
+            toggleContainer.classList.add("zindex-over-content");
+            toggleContainer.classList.add("quarto-sidebar-toggle");
+            toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom
+            toggleContainer.id = placeholderDescriptor.id;
+            toggleContainer.style.position = "fixed";
+
+            const toggleIcon = window.document.createElement("i");
+            toggleIcon.classList.add("quarto-sidebar-toggle-icon");
+            toggleIcon.classList.add("bi");
+            toggleIcon.classList.add("bi-caret-down-fill");
+
+            const toggleTitle = window.document.createElement("div");
+            const titleEl = window.document.body.querySelector(
+              placeholderDescriptor.titleSelector
+            );
+            if (titleEl) {
+              toggleTitle.append(
+                titleEl.textContent || titleEl.innerText,
+                toggleIcon
+              );
+            }
+            toggleTitle.classList.add("zindex-over-content");
+            toggleTitle.classList.add("quarto-sidebar-toggle-title");
+            toggleContainer.append(toggleTitle);
+
+            const toggleContents = window.document.createElement("div");
+            toggleContents.classList = el.classList;
+            toggleContents.classList.add("zindex-over-content");
+            toggleContents.classList.add("quarto-sidebar-toggle-contents");
+            for (const child of el.children) {
+              if (child.id === "toc-title") {
+                continue;
+              }
+
+              const clone = child.cloneNode(true);
+              clone.style.opacity = 1;
+              clone.style.pointerEvents = null;
+              clone.style.display = null;
+              toggleContents.append(clone);
+            }
+            toggleContents.style.height = "0px";
+            const positionToggle = () => {
+              // position the element (top left of parent, same width as parent)
+              if (!elRect) {
+                elRect = el.getBoundingClientRect();
+              }
+              toggleContainer.style.left = `${elRect.left}px`;
+              toggleContainer.style.top = `${elRect.top}px`;
+              toggleContainer.style.width = `${elRect.width}px`;
+            };
+            positionToggle();
+
+            toggleContainer.append(toggleContents);
+            el.parentElement.prepend(toggleContainer);
+
+            // Process clicks
+            let tocShowing = false;
+            // Allow the caller to control whether this is dismissed
+            // when it is clicked (e.g. sidebar navigation supports
+            // opening and closing the nav tree, so don't dismiss on click)
+            const clickEl = placeholderDescriptor.dismissOnClick
+              ? toggleContainer
+              : toggleTitle;
+
+            const closeToggle = () => {
+              if (tocShowing) {
+                toggleContainer.classList.remove("expanded");
+                toggleContents.style.height = "0px";
+                tocShowing = false;
+              }
+            };
+
+            // Get rid of any expanded toggle if the user scrolls
+            window.document.addEventListener(
+              "scroll",
+              throttle(() => {
+                closeToggle();
+              }, 50)
+            );
+
+            // Handle positioning of the toggle
+            window.addEventListener(
+              "resize",
+              throttle(() => {
+                elRect = undefined;
+                positionToggle();
+              }, 50)
+            );
+
+            window.addEventListener("quarto-hrChanged", () => {
+              elRect = undefined;
+            });
+
+            // Process the click
+            clickEl.onclick = () => {
+              if (!tocShowing) {
+                toggleContainer.classList.add("expanded");
+                toggleContents.style.height = null;
+                tocShowing = true;
+              } else {
+                closeToggle();
+              }
+            };
+          });
+        };
+
+        // Converts a sidebar from a menu back to a sidebar
+        const convertToSidebar = () => {
+          for (const child of el.children) {
+            child.style.opacity = 1;
+            child.style.overflow = null;
+            child.style.pointerEvents = null;
+          }
+
+          const placeholderEl = window.document.getElementById(
+            placeholderDescriptor.id
+          );
+          if (placeholderEl) {
+            placeholderEl.remove();
+          }
+
+          el.classList.remove("rollup");
+        };
+
+        if (isReaderMode()) {
+          convertToMenu();
+          isVisible = false;
+        } else {
+          // Find the top and bottom o the element that is being managed
+          const elTop = el.offsetTop;
+          const elBottom =
+            elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;
+
+          if (!isVisible) {
+            // If the element is current not visible reveal if there are
+            // no conflicts with overlay regions
+            if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
+              convertToSidebar();
+              isVisible = true;
+            }
+          } else {
+            // If the element is visible, hide it if it conflicts with overlay regions
+            // and insert a placeholder toggle (or if we're in reader mode)
+            if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
+              convertToMenu();
+              isVisible = false;
+            }
+          }
+        }
+      }
+    };
+  };
+
+  const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]');
+  for (const tabEl of tabEls) {
+    const id = tabEl.getAttribute("data-bs-target");
+    if (id) {
+      const columnEl = document.querySelector(
+        `${id} .column-margin, .tabset-margin-content`
+      );
+      if (columnEl)
+        tabEl.addEventListener("shown.bs.tab", function (event) {
+          const el = event.srcElement;
+          if (el) {
+            const visibleCls = `${el.id}-margin-content`;
+            // walk up until we find a parent tabset
+            let panelTabsetEl = el.parentElement;
+            while (panelTabsetEl) {
+              if (panelTabsetEl.classList.contains("panel-tabset")) {
+                break;
+              }
+              panelTabsetEl = panelTabsetEl.parentElement;
+            }
+
+            if (panelTabsetEl) {
+              const prevSib = panelTabsetEl.previousElementSibling;
+              if (
+                prevSib &&
+                prevSib.classList.contains("tabset-margin-container")
+              ) {
+                const childNodes = prevSib.querySelectorAll(
+                  ".tabset-margin-content"
+                );
+                for (const childEl of childNodes) {
+                  if (childEl.classList.contains(visibleCls)) {
+                    childEl.classList.remove("collapse");
+                  } else {
+                    childEl.classList.add("collapse");
+                  }
+                }
+              }
+            }
+          }
+
+          layoutMarginEls();
+        });
+    }
+  }
+
+  // Manage the visibility of the toc and the sidebar
+  const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
+    id: "quarto-toc-toggle",
+    titleSelector: "#toc-title",
+    dismissOnClick: true,
+  });
+  const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
+    id: "quarto-sidebarnav-toggle",
+    titleSelector: ".title",
+    dismissOnClick: false,
+  });
+  let tocLeftScrollVisibility;
+  if (leftTocEl) {
+    tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
+      id: "quarto-lefttoc-toggle",
+      titleSelector: "#toc-title",
+      dismissOnClick: true,
+    });
+  }
+
+  // Find the first element that uses formatting in special columns
+  const conflictingEls = window.document.body.querySelectorAll(
+    '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
+  );
+
+  // Filter all the possibly conflicting elements into ones
+  // the do conflict on the left or ride side
+  const arrConflictingEls = Array.from(conflictingEls);
+  const leftSideConflictEls = arrConflictingEls.filter((el) => {
+    if (el.tagName === "ASIDE") {
+      return false;
+    }
+    return Array.from(el.classList).find((className) => {
+      return (
+        className !== "column-body" &&
+        className.startsWith("column-") &&
+        !className.endsWith("right") &&
+        !className.endsWith("container") &&
+        className !== "column-margin"
+      );
+    });
+  });
+  const rightSideConflictEls = arrConflictingEls.filter((el) => {
+    if (el.tagName === "ASIDE") {
+      return true;
+    }
+
+    const hasMarginCaption = Array.from(el.classList).find((className) => {
+      return className == "margin-caption";
+    });
+    if (hasMarginCaption) {
+      return true;
+    }
+
+    return Array.from(el.classList).find((className) => {
+      return (
+        className !== "column-body" &&
+        !className.endsWith("container") &&
+        className.startsWith("column-") &&
+        !className.endsWith("left")
+      );
+    });
+  });
+
+  const kOverlapPaddingSize = 10;
+  function toRegions(els) {
+    return els.map((el) => {
+      const boundRect = el.getBoundingClientRect();
+      const top =
+        boundRect.top +
+        document.documentElement.scrollTop -
+        kOverlapPaddingSize;
+      return {
+        top,
+        bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
+      };
+    });
+  }
+
+  let hasObserved = false;
+  const visibleItemObserver = (els) => {
+    let visibleElements = [...els];
+    const intersectionObserver = new IntersectionObserver(
+      (entries, _observer) => {
+        entries.forEach((entry) => {
+          if (entry.isIntersecting) {
+            if (visibleElements.indexOf(entry.target) === -1) {
+              visibleElements.push(entry.target);
+            }
+          } else {
+            visibleElements = visibleElements.filter((visibleEntry) => {
+              return visibleEntry !== entry;
+            });
+          }
+        });
+
+        if (!hasObserved) {
+          hideOverlappedSidebars();
+        }
+        hasObserved = true;
+      },
+      {}
+    );
+    els.forEach((el) => {
+      intersectionObserver.observe(el);
+    });
+
+    return {
+      getVisibleEntries: () => {
+        return visibleElements;
+      },
+    };
+  };
+
+  const rightElementObserver = visibleItemObserver(rightSideConflictEls);
+  const leftElementObserver = visibleItemObserver(leftSideConflictEls);
+
+  const hideOverlappedSidebars = () => {
+    marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries()));
+    sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries()));
+    if (tocLeftScrollVisibility) {
+      tocLeftScrollVisibility(
+        toRegions(leftElementObserver.getVisibleEntries())
+      );
+    }
+  };
+
+  window.quartoToggleReader = () => {
+    // Applies a slow class (or removes it)
+    // to update the transition speed
+    const slowTransition = (slow) => {
+      const manageTransition = (id, slow) => {
+        const el = document.getElementById(id);
+        if (el) {
+          if (slow) {
+            el.classList.add("slow");
+          } else {
+            el.classList.remove("slow");
+          }
+        }
+      };
+
+      manageTransition("TOC", slow);
+      manageTransition("quarto-sidebar", slow);
+    };
+    const readerMode = !isReaderMode();
+    setReaderModeValue(readerMode);
+
+    // If we're entering reader mode, slow the transition
+    if (readerMode) {
+      slowTransition(readerMode);
+    }
+    highlightReaderToggle(readerMode);
+    hideOverlappedSidebars();
+
+    // If we're exiting reader mode, restore the non-slow transition
+    if (!readerMode) {
+      slowTransition(!readerMode);
+    }
+  };
+
+  const highlightReaderToggle = (readerMode) => {
+    const els = document.querySelectorAll(".quarto-reader-toggle");
+    if (els) {
+      els.forEach((el) => {
+        if (readerMode) {
+          el.classList.add("reader");
+        } else {
+          el.classList.remove("reader");
+        }
+      });
+    }
+  };
+
+  const setReaderModeValue = (val) => {
+    if (window.location.protocol !== "file:") {
+      window.localStorage.setItem("quarto-reader-mode", val);
+    } else {
+      localReaderMode = val;
+    }
+  };
+
+  const isReaderMode = () => {
+    if (window.location.protocol !== "file:") {
+      return window.localStorage.getItem("quarto-reader-mode") === "true";
+    } else {
+      return localReaderMode;
+    }
+  };
+  let localReaderMode = null;
+
+  const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded");
+  const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1;
+
+  // Walk the TOC and collapse/expand nodes
+  // Nodes are expanded if:
+  // - they are top level
+  // - they have children that are 'active' links
+  // - they are directly below an link that is 'active'
+  const walk = (el, depth) => {
+    // Tick depth when we enter a UL
+    if (el.tagName === "UL") {
+      depth = depth + 1;
+    }
+
+    // It this is active link
+    let isActiveNode = false;
+    if (el.tagName === "A" && el.classList.contains("active")) {
+      isActiveNode = true;
+    }
+
+    // See if there is an active child to this element
+    let hasActiveChild = false;
+    for (child of el.children) {
+      hasActiveChild = walk(child, depth) || hasActiveChild;
+    }
+
+    // Process the collapse state if this is an UL
+    if (el.tagName === "UL") {
+      if (tocOpenDepth === -1 && depth > 1) {
+        // toc-expand: false
+        el.classList.add("collapse");
+      } else if (
+        depth <= tocOpenDepth ||
+        hasActiveChild ||
+        prevSiblingIsActiveLink(el)
+      ) {
+        el.classList.remove("collapse");
+      } else {
+        el.classList.add("collapse");
+      }
+
+      // untick depth when we leave a UL
+      depth = depth - 1;
+    }
+    return hasActiveChild || isActiveNode;
+  };
+
+  // walk the TOC and expand / collapse any items that should be shown
+  if (tocEl) {
+    updateActiveLink();
+    walk(tocEl, 0);
+  }
+
+  // Throttle the scroll event and walk peridiocally
+  window.document.addEventListener(
+    "scroll",
+    throttle(() => {
+      if (tocEl) {
+        updateActiveLink();
+        walk(tocEl, 0);
+      }
+      if (!isReaderMode()) {
+        hideOverlappedSidebars();
+      }
+    }, 5)
+  );
+  window.addEventListener(
+    "resize",
+    throttle(() => {
+      if (tocEl) {
+        updateActiveLink();
+        walk(tocEl, 0);
+      }
+      if (!isReaderMode()) {
+        hideOverlappedSidebars();
+      }
+    }, 10)
+  );
+  hideOverlappedSidebars();
+  highlightReaderToggle(isReaderMode());
+});
+
+// grouped tabsets
+window.addEventListener("pageshow", (_event) => {
+  function getTabSettings() {
+    const data = localStorage.getItem("quarto-persistent-tabsets-data");
+    if (!data) {
+      localStorage.setItem("quarto-persistent-tabsets-data", "{}");
+      return {};
+    }
+    if (data) {
+      return JSON.parse(data);
+    }
+  }
+
+  function setTabSettings(data) {
+    localStorage.setItem(
+      "quarto-persistent-tabsets-data",
+      JSON.stringify(data)
+    );
+  }
+
+  function setTabState(groupName, groupValue) {
+    const data = getTabSettings();
+    data[groupName] = groupValue;
+    setTabSettings(data);
+  }
+
+  function toggleTab(tab, active) {
+    const tabPanelId = tab.getAttribute("aria-controls");
+    const tabPanel = document.getElementById(tabPanelId);
+    if (active) {
+      tab.classList.add("active");
+      tabPanel.classList.add("active");
+    } else {
+      tab.classList.remove("active");
+      tabPanel.classList.remove("active");
+    }
+  }
+
+  function toggleAll(selectedGroup, selectorsToSync) {
+    for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) {
+      const active = selectedGroup === thisGroup;
+      for (const tab of tabs) {
+        toggleTab(tab, active);
+      }
+    }
+  }
+
+  function findSelectorsToSyncByLanguage() {
+    const result = {};
+    const tabs = Array.from(
+      document.querySelectorAll(`div[data-group] a[id^='tabset-']`)
+    );
+    for (const item of tabs) {
+      const div = item.parentElement.parentElement.parentElement;
+      const group = div.getAttribute("data-group");
+      if (!result[group]) {
+        result[group] = {};
+      }
+      const selectorsToSync = result[group];
+      const value = item.innerHTML;
+      if (!selectorsToSync[value]) {
+        selectorsToSync[value] = [];
+      }
+      selectorsToSync[value].push(item);
+    }
+    return result;
+  }
+
+  function setupSelectorSync() {
+    const selectorsToSync = findSelectorsToSyncByLanguage();
+    Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => {
+      Object.entries(tabSetsByValue).forEach(([value, items]) => {
+        items.forEach((item) => {
+          item.addEventListener("click", (_event) => {
+            setTabState(group, value);
+            toggleAll(value, selectorsToSync[group]);
+          });
+        });
+      });
+    });
+    return selectorsToSync;
+  }
+
+  const selectorsToSync = setupSelectorSync();
+  for (const [group, selectedName] of Object.entries(getTabSettings())) {
+    const selectors = selectorsToSync[group];
+    // it's possible that stale state gives us empty selections, so we explicitly check here.
+    if (selectors) {
+      toggleAll(selectedName, selectors);
+    }
+  }
+});
+
+function throttle(func, wait) {
+  let waiting = false;
+  return function () {
+    if (!waiting) {
+      func.apply(this, arguments);
+      waiting = true;
+      setTimeout(function () {
+        waiting = false;
+      }, wait);
+    }
+  };
+}
+
+function nexttick(func) {
+  return setTimeout(func, 0);
+}
diff --git a/site_libs/quarto-html/tippy.css b/site_libs/quarto-html/tippy.css
new file mode 100644
index 0000000..e6ae635
--- /dev/null
+++ b/site_libs/quarto-html/tippy.css
@@ -0,0 +1 @@
+.tippy-box[data-animation=fade][data-state=hidden]{opacity:0}[data-tippy-root]{max-width:calc(100vw - 10px)}.tippy-box{position:relative;background-color:#333;color:#fff;border-radius:4px;font-size:14px;line-height:1.4;white-space:normal;outline:0;transition-property:transform,visibility,opacity}.tippy-box[data-placement^=top]>.tippy-arrow{bottom:0}.tippy-box[data-placement^=top]>.tippy-arrow:before{bottom:-7px;left:0;border-width:8px 8px 0;border-top-color:initial;transform-origin:center top}.tippy-box[data-placement^=bottom]>.tippy-arrow{top:0}.tippy-box[data-placement^=bottom]>.tippy-arrow:before{top:-7px;left:0;border-width:0 8px 8px;border-bottom-color:initial;transform-origin:center bottom}.tippy-box[data-placement^=left]>.tippy-arrow{right:0}.tippy-box[data-placement^=left]>.tippy-arrow:before{border-width:8px 0 8px 8px;border-left-color:initial;right:-7px;transform-origin:center left}.tippy-box[data-placement^=right]>.tippy-arrow{left:0}.tippy-box[data-placement^=right]>.tippy-arrow:before{left:-7px;border-width:8px 8px 8px 0;border-right-color:initial;transform-origin:center right}.tippy-box[data-inertia][data-state=visible]{transition-timing-function:cubic-bezier(.54,1.5,.38,1.11)}.tippy-arrow{width:16px;height:16px;color:#333}.tippy-arrow:before{content:"";position:absolute;border-color:transparent;border-style:solid}.tippy-content{position:relative;padding:5px 9px;z-index:1}
\ No newline at end of file
diff --git a/site_libs/quarto-html/tippy.umd.min.js b/site_libs/quarto-html/tippy.umd.min.js
new file mode 100644
index 0000000..ca292be
--- /dev/null
+++ b/site_libs/quarto-html/tippy.umd.min.js
@@ -0,0 +1,2 @@
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t(require("@popperjs/core")):"function"==typeof define&&define.amd?define(["@popperjs/core"],t):(e=e||self).tippy=t(e.Popper)}(this,(function(e){"use strict";var t={passive:!0,capture:!0},n=function(){return document.body};function r(e,t,n){if(Array.isArray(e)){var r=e[t];return null==r?Array.isArray(n)?n[t]:n:r}return e}function o(e,t){var n={}.toString.call(e);return 0===n.indexOf("[object")&&n.indexOf(t+"]")>-1}function i(e,t){return"function"==typeof e?e.apply(void 0,t):e}function a(e,t){return 0===t?e:function(r){clearTimeout(n),n=setTimeout((function(){e(r)}),t)};var n}function s(e,t){var n=Object.assign({},e);return t.forEach((function(e){delete n[e]})),n}function u(e){return[].concat(e)}function c(e,t){-1===e.indexOf(t)&&e.push(t)}function p(e){return e.split("-")[0]}function f(e){return[].slice.call(e)}function l(e){return Object.keys(e).reduce((function(t,n){return void 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h(y,t)}return i.indexOf(e)>=0?h(y,e):void 0}},y.showNext=function(){var e=i[0];if(!r)return y.show(0);var t=i.indexOf(r);y.show(i[t+1]||e)},y.showPrevious=function(){var e=i[i.length-1];if(!r)return y.show(e);var t=i.indexOf(r),n=i[t-1]||e;y.show(n)};var E=y.setProps;return y.setProps=function(e){c=e.overrides||c,E(e)},y.setInstances=function(e){m(!0),p.forEach((function(e){return e()})),o=e,m(!1),v(),l(),p=g(y),y.setProps({triggerTarget:a})},p=g(y),y},F.delegate=function(e,n){var r=[],o=[],i=!1,a=n.target,c=s(n,["target"]),p=Object.assign({},c,{trigger:"manual",touch:!1}),f=Object.assign({touch:R.touch},c,{showOnCreate:!0}),l=F(e,p);function d(e){if(e.target&&!i){var t=e.target.closest(a);if(t){var r=t.getAttribute("data-tippy-trigger")||n.trigger||R.trigger;if(!t._tippy&&!("touchstart"===e.type&&"boolean"==typeof f.touch||"touchstart"!==e.type&&r.indexOf(X[e.type])<0)){var s=F(t,f);s&&(o=o.concat(s))}}}}function v(e,t,n,o){void 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+
diff --git a/site_libs/quarto-nav/quarto-nav.js b/site_libs/quarto-nav/quarto-nav.js
new file mode 100644
index 0000000..38cc430
--- /dev/null
+++ b/site_libs/quarto-nav/quarto-nav.js
@@ -0,0 +1,325 @@
+const headroomChanged = new CustomEvent("quarto-hrChanged", {
+  detail: {},
+  bubbles: true,
+  cancelable: false,
+  composed: false,
+});
+
+const announceDismiss = () => {
+  const annEl = window.document.getElementById("quarto-announcement");
+  if (annEl) {
+    annEl.remove();
+
+    const annId = annEl.getAttribute("data-announcement-id");
+    window.localStorage.setItem(`quarto-announce-${annId}`, "true");
+  }
+};
+
+const announceRegister = () => {
+  const annEl = window.document.getElementById("quarto-announcement");
+  if (annEl) {
+    const annId = annEl.getAttribute("data-announcement-id");
+    const isDismissed =
+      window.localStorage.getItem(`quarto-announce-${annId}`) || false;
+    if (isDismissed) {
+      announceDismiss();
+      return;
+    } else {
+      annEl.classList.remove("hidden");
+    }
+
+    const actionEl = annEl.querySelector(".quarto-announcement-action");
+    if (actionEl) {
+      actionEl.addEventListener("click", function (e) {
+        e.preventDefault();
+        // Hide the bar immediately
+        announceDismiss();
+      });
+    }
+  }
+};
+
+window.document.addEventListener("DOMContentLoaded", function () {
+  let init = false;
+
+  announceRegister();
+
+  // Manage the back to top button, if one is present.
+  let lastScrollTop = window.pageYOffset || document.documentElement.scrollTop;
+  const scrollDownBuffer = 5;
+  const scrollUpBuffer = 35;
+  const btn = document.getElementById("quarto-back-to-top");
+  const hideBackToTop = () => {
+    btn.style.display = "none";
+  };
+  const showBackToTop = () => {
+    btn.style.display = "inline-block";
+  };
+  if (btn) {
+    window.document.addEventListener(
+      "scroll",
+      function () {
+        const currentScrollTop =
+          window.pageYOffset || document.documentElement.scrollTop;
+
+        // Shows and hides the button 'intelligently' as the user scrolls
+        if (currentScrollTop - scrollDownBuffer > lastScrollTop) {
+          hideBackToTop();
+          lastScrollTop = currentScrollTop <= 0 ? 0 : currentScrollTop;
+        } else if (currentScrollTop < lastScrollTop - scrollUpBuffer) {
+          showBackToTop();
+          lastScrollTop = currentScrollTop <= 0 ? 0 : currentScrollTop;
+        }
+
+        // Show the button at the bottom, hides it at the top
+        if (currentScrollTop <= 0) {
+          hideBackToTop();
+        } else if (
+          window.innerHeight + currentScrollTop >=
+          document.body.offsetHeight
+        ) {
+          showBackToTop();
+        }
+      },
+      false
+    );
+  }
+
+  function throttle(func, wait) {
+    var timeout;
+    return function () {
+      const context = this;
+      const args = arguments;
+      const later = function () {
+        clearTimeout(timeout);
+        timeout = null;
+        func.apply(context, args);
+      };
+
+      if (!timeout) {
+        timeout = setTimeout(later, wait);
+      }
+    };
+  }
+
+  function headerOffset() {
+    // Set an offset if there is are fixed top navbar
+    const headerEl = window.document.querySelector("header.fixed-top");
+    if (headerEl) {
+      return headerEl.clientHeight;
+    } else {
+      return 0;
+    }
+  }
+
+  function footerOffset() {
+    const footerEl = window.document.querySelector("footer.footer");
+    if (footerEl) {
+      return footerEl.clientHeight;
+    } else {
+      return 0;
+    }
+  }
+
+  function dashboardOffset() {
+    const dashboardNavEl = window.document.getElementById(
+      "quarto-dashboard-header"
+    );
+    if (dashboardNavEl !== null) {
+      return dashboardNavEl.clientHeight;
+    } else {
+      return 0;
+    }
+  }
+
+  function updateDocumentOffsetWithoutAnimation() {
+    updateDocumentOffset(false);
+  }
+
+  function updateDocumentOffset(animated) {
+    // set body offset
+    const topOffset = headerOffset();
+    const bodyOffset = topOffset + footerOffset() + dashboardOffset();
+    const bodyEl = window.document.body;
+    bodyEl.setAttribute("data-bs-offset", topOffset);
+    bodyEl.style.paddingTop = topOffset + "px";
+
+    // deal with sidebar offsets
+    const sidebars = window.document.querySelectorAll(
+      ".sidebar, .headroom-target"
+    );
+    sidebars.forEach((sidebar) => {
+      if (!animated) {
+        sidebar.classList.add("notransition");
+        // Remove the no transition class after the animation has time to complete
+        setTimeout(function () {
+          sidebar.classList.remove("notransition");
+        }, 201);
+      }
+
+      if (window.Headroom && sidebar.classList.contains("sidebar-unpinned")) {
+        sidebar.style.top = "0";
+        sidebar.style.maxHeight = "100vh";
+      } else {
+        sidebar.style.top = topOffset + "px";
+        sidebar.style.maxHeight = "calc(100vh - " + topOffset + "px)";
+      }
+    });
+
+    // allow space for footer
+    const mainContainer = window.document.querySelector(".quarto-container");
+    if (mainContainer) {
+      mainContainer.style.minHeight = "calc(100vh - " + bodyOffset + "px)";
+    }
+
+    // link offset
+    let linkStyle = window.document.querySelector("#quarto-target-style");
+    if (!linkStyle) {
+      linkStyle = window.document.createElement("style");
+      linkStyle.setAttribute("id", "quarto-target-style");
+      window.document.head.appendChild(linkStyle);
+    }
+    while (linkStyle.firstChild) {
+      linkStyle.removeChild(linkStyle.firstChild);
+    }
+    if (topOffset > 0) {
+      linkStyle.appendChild(
+        window.document.createTextNode(`
+      section:target::before {
+        content: "";
+        display: block;
+        height: ${topOffset}px;
+        margin: -${topOffset}px 0 0;
+      }`)
+      );
+    }
+    if (init) {
+      window.dispatchEvent(headroomChanged);
+    }
+    init = true;
+  }
+
+  // initialize headroom
+  var header = window.document.querySelector("#quarto-header");
+  if (header && window.Headroom) {
+    const headroom = new window.Headroom(header, {
+      tolerance: 5,
+      onPin: function () {
+        const sidebars = window.document.querySelectorAll(
+          ".sidebar, .headroom-target"
+        );
+        sidebars.forEach((sidebar) => {
+          sidebar.classList.remove("sidebar-unpinned");
+        });
+        updateDocumentOffset();
+      },
+      onUnpin: function () {
+        const sidebars = window.document.querySelectorAll(
+          ".sidebar, .headroom-target"
+        );
+        sidebars.forEach((sidebar) => {
+          sidebar.classList.add("sidebar-unpinned");
+        });
+        updateDocumentOffset();
+      },
+    });
+    headroom.init();
+
+    let frozen = false;
+    window.quartoToggleHeadroom = function () {
+      if (frozen) {
+        headroom.unfreeze();
+        frozen = false;
+      } else {
+        headroom.freeze();
+        frozen = true;
+      }
+    };
+  }
+
+  window.addEventListener(
+    "hashchange",
+    function (e) {
+      if (
+        getComputedStyle(document.documentElement).scrollBehavior !== "smooth"
+      ) {
+        window.scrollTo(0, window.pageYOffset - headerOffset());
+      }
+    },
+    false
+  );
+
+  // Observe size changed for the header
+  const headerEl = window.document.querySelector("header.fixed-top");
+  if (headerEl && window.ResizeObserver) {
+    const observer = new window.ResizeObserver(() => {
+      setTimeout(updateDocumentOffsetWithoutAnimation, 0);
+    });
+    observer.observe(headerEl, {
+      attributes: true,
+      childList: true,
+      characterData: true,
+    });
+  } else {
+    window.addEventListener(
+      "resize",
+      throttle(updateDocumentOffsetWithoutAnimation, 50)
+    );
+  }
+  setTimeout(updateDocumentOffsetWithoutAnimation, 250);
+
+  // fixup index.html links if we aren't on the filesystem
+  if (window.location.protocol !== "file:") {
+    const links = window.document.querySelectorAll("a");
+    for (let i = 0; i < links.length; i++) {
+      if (links[i].href) {
+        links[i].dataset.originalHref = links[i].href;
+        links[i].href = links[i].href.replace(/\/index\.html/, "/");
+      }
+    }
+
+    // Fixup any sharing links that require urls
+    // Append url to any sharing urls
+    const sharingLinks = window.document.querySelectorAll(
+      "a.sidebar-tools-main-item, a.quarto-navigation-tool, a.quarto-navbar-tools, a.quarto-navbar-tools-item"
+    );
+    for (let i = 0; i < sharingLinks.length; i++) {
+      const sharingLink = sharingLinks[i];
+      const href = sharingLink.getAttribute("href");
+      if (href) {
+        sharingLink.setAttribute(
+          "href",
+          href.replace("|url|", window.location.href)
+        );
+      }
+    }
+
+    // Scroll the active navigation item into view, if necessary
+    const navSidebar = window.document.querySelector("nav#quarto-sidebar");
+    if (navSidebar) {
+      // Find the active item
+      const activeItem = navSidebar.querySelector("li.sidebar-item a.active");
+      if (activeItem) {
+        // Wait for the scroll height and height to resolve by observing size changes on the
+        // nav element that is scrollable
+        const resizeObserver = new ResizeObserver((_entries) => {
+          // The bottom of the element
+          const elBottom = activeItem.offsetTop;
+          const viewBottom = navSidebar.scrollTop + navSidebar.clientHeight;
+
+          // The element height and scroll height are the same, then we are still loading
+          if (viewBottom !== navSidebar.scrollHeight) {
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diff --git a/site_libs/quarto-search/autocomplete.umd.js b/site_libs/quarto-search/autocomplete.umd.js
new file mode 100644
index 0000000..ae0063a
--- /dev/null
+++ b/site_libs/quarto-search/autocomplete.umd.js
@@ -0,0 +1,3 @@
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+
diff --git a/site_libs/quarto-search/fuse.min.js b/site_libs/quarto-search/fuse.min.js
new file mode 100644
index 0000000..adc2835
--- /dev/null
+++ b/site_libs/quarto-search/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.6.2 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2022 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function t(t){for(var n=1;n<arguments.length;n++){var r=null!=arguments[n]?arguments[n]:{};n%2?e(Object(r),!0).forEach((function(e){c(t,e,r[e])})):Object.getOwnPropertyDescriptors?Object.defineProperties(t,Object.getOwnPropertyDescriptors(r)):e(Object(r)).forEach((function(e){Object.defineProperty(t,e,Object.getOwnPropertyDescriptor(r,e))}))}return t}function n(e){return n="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},n(e)}function r(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function i(e,t){for(var n=0;n<t.length;n++){var 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n=e.match(t);return n?n[1]:null}var K=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){var t=e===this.pattern;return{isMatch:t,score:t?0:1,indices:[0,this.pattern.length-1]}}}],[{key:"type",get:function(){return"exact"}},{key:"multiRegex",get:function(){return/^="(.*)"$/}},{key:"singleRegex",get:function(){return/^=(.*)$/}}]),n}(z),q=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){var t=-1===e.indexOf(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-exact"}},{key:"multiRegex",get:function(){return/^!"(.*)"$/}},{key:"singleRegex",get:function(){return/^!(.*)$/}}]),n}(z),B=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){var t=e.startsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,this.pattern.length-1]}}}],[{key:"type",get:function(){return"prefix-exact"}},{key:"multiRegex",get:function(){return/^\^"(.*)"$/}},{key:"singleRegex",get:function(){return/^\^(.*)$/}}]),n}(z),J=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){var t=!e.startsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-prefix-exact"}},{key:"multiRegex",get:function(){return/^!\^"(.*)"$/}},{key:"singleRegex",get:function(){return/^!\^(.*)$/}}]),n}(z),U=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){var t=e.endsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[e.length-this.pattern.length,e.length-1]}}}],[{key:"type",get:function(){return"suffix-exact"}},{key:"multiRegex",get:function(){return/^"(.*)"\$$/}},{key:"singleRegex",get:function(){return/^(.*)\$$/}}]),n}(z),V=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){var t=!e.endsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-suffix-exact"}},{key:"multiRegex",get:function(){return/^!"(.*)"\$$/}},{key:"singleRegex",get:function(){return/^!(.*)\$$/}}]),n}(z),G=function(e){a(n,e);var t=l(n);function n(e){var i,o=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},c=o.location,a=void 0===c?I.location:c,s=o.threshold,u=void 0===s?I.threshold:s,h=o.distance,l=void 0===h?I.distance:h,f=o.includeMatches,d=void 0===f?I.includeMatches:f,v=o.findAllMatches,g=void 0===v?I.findAllMatches:v,y=o.minMatchCharLength,p=void 0===y?I.minMatchCharLength:y,m=o.isCaseSensitive,k=void 0===m?I.isCaseSensitive:m,M=o.ignoreLocation,b=void 0===M?I.ignoreLocation:M;return r(this,n),(i=t.call(this,e))._bitapSearch=new T(e,{location:a,threshold:u,distance:l,includeMatches:d,findAllMatches:g,minMatchCharLength:p,isCaseSensitive:k,ignoreLocation:b}),i}return o(n,[{key:"search",value:function(e){return this._bitapSearch.searchIn(e)}}],[{key:"type",get:function(){return"fuzzy"}},{key:"multiRegex",get:function(){return/^"(.*)"$/}},{key:"singleRegex",get:function(){return/^(.*)$/}}]),n}(z),H=function(e){a(n,e);var t=l(n);function n(e){return r(this,n),t.call(this,e)}return o(n,[{key:"search",value:function(e){for(var t,n=0,r=[],i=this.pattern.length;(t=e.indexOf(this.pattern,n))>-1;)n=t+i,r.push([t,n-1]);var o=!!r.length;return{isMatch:o,score:o?0:1,indices:r}}}],[{key:"type",get:function(){return"include"}},{key:"multiRegex",get:function(){return/^'"(.*)"$/}},{key:"singleRegex",get:function(){return/^'(.*)$/}}]),n}(z),Q=[K,H,B,J,V,U,q,G],X=Q.length,Y=/ +(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)/;function Z(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return e.split("|").map((function(e){for(var n=e.trim().split(Y).filter((function(e){return e&&!!e.trim()})),r=[],i=0,o=n.length;i<o;i+=1){for(var c=n[i],a=!1,s=-1;!a&&++s<X;){var u=Q[s],h=u.isMultiMatch(c);h&&(r.push(new u(h,t)),a=!0)}if(!a)for(s=-1;++s<X;){var l=Q[s],f=l.isSingleMatch(c);if(f){r.push(new l(f,t));break}}}return r}))}var ee=new Set([G.type,H.type]),te=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},i=n.isCaseSensitive,o=void 0===i?I.isCaseSensitive:i,c=n.includeMatches,a=void 0===c?I.includeMatches:c,s=n.minMatchCharLength,u=void 0===s?I.minMatchCharLength:s,h=n.ignoreLocation,l=void 0===h?I.ignoreLocation:h,f=n.findAllMatches,d=void 0===f?I.findAllMatches:f,v=n.location,g=void 0===v?I.location:v,y=n.threshold,p=void 0===y?I.threshold:y,m=n.distance,k=void 0===m?I.distance:m;r(this,e),this.query=null,this.options={isCaseSensitive:o,includeMatches:a,minMatchCharLength:u,findAllMatches:d,ignoreLocation:l,location:g,threshold:p,distance:k},this.pattern=o?t:t.toLowerCase(),this.query=Z(this.pattern,this.options)}return o(e,[{key:"searchIn",value:function(e){var t=this.query;if(!t)return{isMatch:!1,score:1};var n=this.options,r=n.includeMatches;e=n.isCaseSensitive?e:e.toLowerCase();for(var i=0,o=[],c=0,a=0,s=t.length;a<s;a+=1){var u=t[a];o.length=0,i=0;for(var h=0,l=u.length;h<l;h+=1){var d=u[h],v=d.search(e),g=v.isMatch,y=v.indices,p=v.score;if(!g){c=0,i=0,o.length=0;break}if(i+=1,c+=p,r){var m=d.constructor.type;ee.has(m)?o=[].concat(f(o),f(y)):o.push(y)}}if(i){var k={isMatch:!0,score:c/i};return r&&(k.indices=o),k}}return{isMatch:!1,score:1}}}],[{key:"condition",value:function(e,t){return t.useExtendedSearch}}]),e}(),ne=[];function re(e,t){for(var n=0,r=ne.length;n<r;n+=1){var i=ne[n];if(i.condition(e,t))return new i(e,t)}return new T(e,t)}var ie="$and",oe="$or",ce="$path",ae="$val",se=function(e){return!(!e[ie]&&!e[oe])},ue=function(e){return!!e[ce]},he=function(e){return!v(e)&&m(e)&&!se(e)},le=function(e){return c({},ie,Object.keys(e).map((function(t){return c({},t,e[t])})))};function fe(e,t){var n=t.ignoreFieldNorm,r=void 0===n?I.ignoreFieldNorm:n;e.forEach((function(e){var t=1;e.matches.forEach((function(e){var n=e.key,i=e.norm,o=e.score,c=n?n.weight:null;t*=Math.pow(0===o&&c?Number.EPSILON:o,(c||1)*(r?1:i))})),e.score=t}))}function de(e,t){var n=e.matches;t.matches=[],k(n)&&n.forEach((function(e){if(k(e.indices)&&e.indices.length){var n={indices:e.indices,value:e.value};e.key&&(n.key=e.key.src),e.idx>-1&&(n.refIndex=e.idx),t.matches.push(n)}}))}function ve(e,t){t.score=e.score}function ge(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.includeMatches,i=void 0===r?I.includeMatches:r,o=n.includeScore,c=void 0===o?I.includeScore:o,a=[];return i&&a.push(de),c&&a.push(ve),e.map((function(e){var n=e.idx,r={item:t[n],refIndex:n};return a.length&&a.forEach((function(t){t(e,r)})),r}))}var ye=function(){function e(n){var i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},o=arguments.length>2?arguments[2]:void 0;r(this,e),this.options=t(t({},I),i),this.options.useExtendedSearch,this._keyStore=new S(this.options.keys),this.setCollection(n,o)}return o(e,[{key:"setCollection",value:function(e,t){if(this._docs=e,t&&!(t instanceof $))throw new Error("Incorrect 'index' type");this._myIndex=t||F(this.options.keys,this._docs,{getFn:this.options.getFn,fieldNormWeight:this.options.fieldNormWeight})}},{key:"add",value:function(e){k(e)&&(this._docs.push(e),this._myIndex.add(e))}},{key:"remove",value:function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:function(){return!1},t=[],n=0,r=this._docs.length;n<r;n+=1){var i=this._docs[n];e(i,n)&&(this.removeAt(n),n-=1,r-=1,t.push(i))}return t}},{key:"removeAt",value:function(e){this._docs.splice(e,1),this._myIndex.removeAt(e)}},{key:"getIndex",value:function(){return this._myIndex}},{key:"search",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.limit,r=void 0===n?-1:n,i=this.options,o=i.includeMatches,c=i.includeScore,a=i.shouldSort,s=i.sortFn,u=i.ignoreFieldNorm,h=g(e)?g(this._docs[0])?this._searchStringList(e):this._searchObjectList(e):this._searchLogical(e);return fe(h,{ignoreFieldNorm:u}),a&&h.sort(s),y(r)&&r>-1&&(h=h.slice(0,r)),ge(h,this._docs,{includeMatches:o,includeScore:c})}},{key:"_searchStringList",value:function(e){var t=re(e,this.options),n=this._myIndex.records,r=[];return n.forEach((function(e){var n=e.v,i=e.i,o=e.n;if(k(n)){var c=t.searchIn(n),a=c.isMatch,s=c.score,u=c.indices;a&&r.push({item:n,idx:i,matches:[{score:s,value:n,norm:o,indices:u}]})}})),r}},{key:"_searchLogical",value:function(e){var t=this,n=function(e,t){var n=(arguments.length>2&&void 0!==arguments[2]?arguments[2]:{}).auto,r=void 0===n||n,i=function e(n){var i=Object.keys(n),o=ue(n);if(!o&&i.length>1&&!se(n))return e(le(n));if(he(n)){var c=o?n[ce]:i[0],a=o?n[ae]:n[c];if(!g(a))throw new Error(x(c));var s={keyId:j(c),pattern:a};return r&&(s.searcher=re(a,t)),s}var u={children:[],operator:i[0]};return i.forEach((function(t){var r=n[t];v(r)&&r.forEach((function(t){u.children.push(e(t))}))})),u};return se(e)||(e=le(e)),i(e)}(e,this.options),r=function e(n,r,i){if(!n.children){var o=n.keyId,c=n.searcher,a=t._findMatches({key:t._keyStore.get(o),value:t._myIndex.getValueForItemAtKeyId(r,o),searcher:c});return a&&a.length?[{idx:i,item:r,matches:a}]:[]}for(var s=[],u=0,h=n.children.length;u<h;u+=1){var l=e(n.children[u],r,i);if(l.length)s.push.apply(s,f(l));else if(n.operator===ie)return[]}return s},i=this._myIndex.records,o={},c=[];return i.forEach((function(e){var t=e.$,i=e.i;if(k(t)){var a=r(n,t,i);a.length&&(o[i]||(o[i]={idx:i,item:t,matches:[]},c.push(o[i])),a.forEach((function(e){var t,n=e.matches;(t=o[i].matches).push.apply(t,f(n))})))}})),c}},{key:"_searchObjectList",value:function(e){var t=this,n=re(e,this.options),r=this._myIndex,i=r.keys,o=r.records,c=[];return o.forEach((function(e){var r=e.$,o=e.i;if(k(r)){var a=[];i.forEach((function(e,i){a.push.apply(a,f(t._findMatches({key:e,value:r[i],searcher:n})))})),a.length&&c.push({idx:o,item:r,matches:a})}})),c}},{key:"_findMatches",value:function(e){var t=e.key,n=e.value,r=e.searcher;if(!k(n))return[];var i=[];if(v(n))n.forEach((function(e){var n=e.v,o=e.i,c=e.n;if(k(n)){var a=r.searchIn(n),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:n,idx:o,norm:c,indices:h})}}));else{var o=n.v,c=n.n,a=r.searchIn(o),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:o,norm:c,indices:h})}return i}}]),e}();return ye.version="6.6.2",ye.createIndex=F,ye.parseIndex=function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.getFn,r=void 0===n?I.getFn:n,i=t.fieldNormWeight,o=void 0===i?I.fieldNormWeight:i,c=e.keys,a=e.records,s=new $({getFn:r,fieldNormWeight:o});return s.setKeys(c),s.setIndexRecords(a),s},ye.config=I,function(){ne.push.apply(ne,arguments)}(te),ye},"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).Fuse=t();
\ No newline at end of file
diff --git a/site_libs/quarto-search/quarto-search.js b/site_libs/quarto-search/quarto-search.js
new file mode 100644
index 0000000..d788a95
--- /dev/null
+++ b/site_libs/quarto-search/quarto-search.js
@@ -0,0 +1,1290 @@
+const kQueryArg = "q";
+const kResultsArg = "show-results";
+
+// If items don't provide a URL, then both the navigator and the onSelect
+// function aren't called (and therefore, the default implementation is used)
+//
+// We're using this sentinel URL to signal to those handlers that this
+// item is a more item (along with the type) and can be handled appropriately
+const kItemTypeMoreHref = "0767FDFD-0422-4E5A-BC8A-3BE11E5BBA05";
+
+window.document.addEventListener("DOMContentLoaded", function (_event) {
+  // Ensure that search is available on this page. If it isn't,
+  // should return early and not do anything
+  var searchEl = window.document.getElementById("quarto-search");
+  if (!searchEl) return;
+
+  const { autocomplete } = window["@algolia/autocomplete-js"];
+
+  let quartoSearchOptions = {};
+  let language = {};
+  const searchOptionEl = window.document.getElementById(
+    "quarto-search-options"
+  );
+  if (searchOptionEl) {
+    const jsonStr = searchOptionEl.textContent;
+    quartoSearchOptions = JSON.parse(jsonStr);
+    language = quartoSearchOptions.language;
+  }
+
+  // note the search mode
+  if (quartoSearchOptions.type === "overlay") {
+    searchEl.classList.add("type-overlay");
+  } else {
+    searchEl.classList.add("type-textbox");
+  }
+
+  // Used to determine highlighting behavior for this page
+  // A `q` query param is expected when the user follows a search
+  // to this page
+  const currentUrl = new URL(window.location);
+  const query = currentUrl.searchParams.get(kQueryArg);
+  const showSearchResults = currentUrl.searchParams.get(kResultsArg);
+  const mainEl = window.document.querySelector("main");
+
+  // highlight matches on the page
+  if (query && mainEl) {
+    // perform any highlighting
+    highlight(escapeRegExp(query), mainEl);
+
+    // fix up the URL to remove the q query param
+    const replacementUrl = new URL(window.location);
+    replacementUrl.searchParams.delete(kQueryArg);
+    window.history.replaceState({}, "", replacementUrl);
+  }
+
+  // function to clear highlighting on the page when the search query changes
+  // (e.g. if the user edits the query or clears it)
+  let highlighting = true;
+  const resetHighlighting = (searchTerm) => {
+    if (mainEl && highlighting && query && searchTerm !== query) {
+      clearHighlight(query, mainEl);
+      highlighting = false;
+    }
+  };
+
+  // Clear search highlighting when the user scrolls sufficiently
+  const resetFn = () => {
+    resetHighlighting("");
+    window.removeEventListener("quarto-hrChanged", resetFn);
+    window.removeEventListener("quarto-sectionChanged", resetFn);
+  };
+
+  // Register this event after the initial scrolling and settling of events
+  // on the page
+  window.addEventListener("quarto-hrChanged", resetFn);
+  window.addEventListener("quarto-sectionChanged", resetFn);
+
+  // Responsively switch to overlay mode if the search is present on the navbar
+  // Note that switching the sidebar to overlay mode requires more coordinate (not just
+  // the media query since we generate different HTML for sidebar overlays than we do
+  // for sidebar input UI)
+  const detachedMediaQuery =
+    quartoSearchOptions.type === "overlay" ? "all" : "(max-width: 991px)";
+
+  // If configured, include the analytics client to send insights
+  const plugins = configurePlugins(quartoSearchOptions);
+
+  let lastState = null;
+  const { setIsOpen, setQuery, setCollections } = autocomplete({
+    container: searchEl,
+    detachedMediaQuery: detachedMediaQuery,
+    defaultActiveItemId: 0,
+    panelContainer: "#quarto-search-results",
+    panelPlacement: quartoSearchOptions["panel-placement"],
+    debug: false,
+    openOnFocus: true,
+    plugins,
+    classNames: {
+      form: "d-flex",
+    },
+    placeholder: language["search-text-placeholder"],
+    translations: {
+      clearButtonTitle: language["search-clear-button-title"],
+      detachedCancelButtonText: language["search-detached-cancel-button-title"],
+      submitButtonTitle: language["search-submit-button-title"],
+    },
+    initialState: {
+      query,
+    },
+    getItemUrl({ item }) {
+      return item.href;
+    },
+    onStateChange({ state }) {
+      // If this is a file URL, note that
+
+      // Perhaps reset highlighting
+      resetHighlighting(state.query);
+
+      // If the panel just opened, ensure the panel is positioned properly
+      if (state.isOpen) {
+        if (lastState && !lastState.isOpen) {
+          setTimeout(() => {
+            positionPanel(quartoSearchOptions["panel-placement"]);
+          }, 150);
+        }
+      }
+
+      // Perhaps show the copy link
+      showCopyLink(state.query, quartoSearchOptions);
+
+      lastState = state;
+    },
+    reshape({ sources, state }) {
+      return sources.map((source) => {
+        try {
+          const items = source.getItems();
+
+          // Validate the items
+          validateItems(items);
+
+          // group the items by document
+          const groupedItems = new Map();
+          items.forEach((item) => {
+            const hrefParts = item.href.split("#");
+            const baseHref = hrefParts[0];
+            const isDocumentItem = hrefParts.length === 1;
+
+            const items = groupedItems.get(baseHref);
+            if (!items) {
+              groupedItems.set(baseHref, [item]);
+            } else {
+              // If the href for this item matches the document
+              // exactly, place this item first as it is the item that represents
+              // the document itself
+              if (isDocumentItem) {
+                items.unshift(item);
+              } else {
+                items.push(item);
+              }
+              groupedItems.set(baseHref, items);
+            }
+          });
+
+          const reshapedItems = [];
+          let count = 1;
+          for (const [_key, value] of groupedItems) {
+            const firstItem = value[0];
+            reshapedItems.push({
+              ...firstItem,
+              type: kItemTypeDoc,
+            });
+
+            const collapseMatches = quartoSearchOptions["collapse-after"];
+            const collapseCount =
+              typeof collapseMatches === "number" ? collapseMatches : 1;
+
+            if (value.length > 1) {
+              const target = `search-more-${count}`;
+              const isExpanded =
+                state.context.expanded &&
+                state.context.expanded.includes(target);
+
+              const remainingCount = value.length - collapseCount;
+
+              for (let i = 1; i < value.length; i++) {
+                if (collapseMatches && i === collapseCount) {
+                  reshapedItems.push({
+                    target,
+                    title: isExpanded
+                      ? language["search-hide-matches-text"]
+                      : remainingCount === 1
+                      ? `${remainingCount} ${language["search-more-match-text"]}`
+                      : `${remainingCount} ${language["search-more-matches-text"]}`,
+                    type: kItemTypeMore,
+                    href: kItemTypeMoreHref,
+                  });
+                }
+
+                if (isExpanded || !collapseMatches || i < collapseCount) {
+                  reshapedItems.push({
+                    ...value[i],
+                    type: kItemTypeItem,
+                    target,
+                  });
+                }
+              }
+            }
+            count += 1;
+          }
+
+          return {
+            ...source,
+            getItems() {
+              return reshapedItems;
+            },
+          };
+        } catch (error) {
+          // Some form of error occurred
+          return {
+            ...source,
+            getItems() {
+              return [
+                {
+                  title: error.name || "An Error Occurred While Searching",
+                  text:
+                    error.message ||
+                    "An unknown error occurred while attempting to perform the requested search.",
+                  type: kItemTypeError,
+                },
+              ];
+            },
+          };
+        }
+      });
+    },
+    navigator: {
+      navigate({ itemUrl }) {
+        if (itemUrl !== offsetURL(kItemTypeMoreHref)) {
+          window.location.assign(itemUrl);
+        }
+      },
+      navigateNewTab({ itemUrl }) {
+        if (itemUrl !== offsetURL(kItemTypeMoreHref)) {
+          const windowReference = window.open(itemUrl, "_blank", "noopener");
+          if (windowReference) {
+            windowReference.focus();
+          }
+        }
+      },
+      navigateNewWindow({ itemUrl }) {
+        if (itemUrl !== offsetURL(kItemTypeMoreHref)) {
+          window.open(itemUrl, "_blank", "noopener");
+        }
+      },
+    },
+    getSources({ state, setContext, setActiveItemId, refresh }) {
+      return [
+        {
+          sourceId: "documents",
+          getItemUrl({ item }) {
+            if (item.href) {
+              return offsetURL(item.href);
+            } else {
+              return undefined;
+            }
+          },
+          onSelect({
+            item,
+            state,
+            setContext,
+            setIsOpen,
+            setActiveItemId,
+            refresh,
+          }) {
+            if (item.type === kItemTypeMore) {
+              toggleExpanded(item, state, setContext, setActiveItemId, refresh);
+
+              // Toggle more
+              setIsOpen(true);
+            }
+          },
+          getItems({ query }) {
+            if (query === null || query === "") {
+              return [];
+            }
+
+            const limit = quartoSearchOptions.limit;
+            if (quartoSearchOptions.algolia) {
+              return algoliaSearch(query, limit, quartoSearchOptions.algolia);
+            } else {
+              // Fuse search options
+              const fuseSearchOptions = {
+                isCaseSensitive: false,
+                shouldSort: true,
+                minMatchCharLength: 2,
+                limit: limit,
+              };
+
+              return readSearchData().then(function (fuse) {
+                return fuseSearch(query, fuse, fuseSearchOptions);
+              });
+            }
+          },
+          templates: {
+            noResults({ createElement }) {
+              const hasQuery = lastState.query;
+
+              return createElement(
+                "div",
+                {
+                  class: `quarto-search-no-results${
+                    hasQuery ? "" : " no-query"
+                  }`,
+                },
+                language["search-no-results-text"]
+              );
+            },
+            header({ items, createElement }) {
+              // count the documents
+              const count = items.filter((item) => {
+                return item.type === kItemTypeDoc;
+              }).length;
+
+              if (count > 0) {
+                return createElement(
+                  "div",
+                  { class: "search-result-header" },
+                  `${count} ${language["search-matching-documents-text"]}`
+                );
+              } else {
+                return createElement(
+                  "div",
+                  { class: "search-result-header-no-results" },
+                  ``
+                );
+              }
+            },
+            footer({ _items, createElement }) {
+              if (
+                quartoSearchOptions.algolia &&
+                quartoSearchOptions.algolia["show-logo"]
+              ) {
+                const libDir = quartoSearchOptions.algolia["libDir"];
+                const logo = createElement("img", {
+                  src: offsetURL(
+                    `${libDir}/quarto-search/search-by-algolia.svg`
+                  ),
+                  class: "algolia-search-logo",
+                });
+                return createElement(
+                  "a",
+                  { href: "http://www.algolia.com/" },
+                  logo
+                );
+              }
+            },
+
+            item({ item, createElement }) {
+              return renderItem(
+                item,
+                createElement,
+                state,
+                setActiveItemId,
+                setContext,
+                refresh,
+                quartoSearchOptions
+              );
+            },
+          },
+        },
+      ];
+    },
+  });
+
+  window.quartoOpenSearch = () => {
+    setIsOpen(false);
+    setIsOpen(true);
+    focusSearchInput();
+  };
+
+  document.addEventListener("keyup", (event) => {
+    const { key } = event;
+    const kbds = quartoSearchOptions["keyboard-shortcut"];
+    const focusedEl = document.activeElement;
+
+    const isFormElFocused = [
+      "input",
+      "select",
+      "textarea",
+      "button",
+      "option",
+    ].find((tag) => {
+      return focusedEl.tagName.toLowerCase() === tag;
+    });
+
+    if (
+      kbds &&
+      kbds.includes(key) &&
+      !isFormElFocused &&
+      !document.activeElement.isContentEditable
+    ) {
+      event.preventDefault();
+      window.quartoOpenSearch();
+    }
+  });
+
+  // Remove the labeleledby attribute since it is pointing
+  // to a non-existent label
+  if (quartoSearchOptions.type === "overlay") {
+    const inputEl = window.document.querySelector(
+      "#quarto-search .aa-Autocomplete"
+    );
+    if (inputEl) {
+      inputEl.removeAttribute("aria-labelledby");
+    }
+  }
+
+  function throttle(func, wait) {
+    let waiting = false;
+    return function () {
+      if (!waiting) {
+        func.apply(this, arguments);
+        waiting = true;
+        setTimeout(function () {
+          waiting = false;
+        }, wait);
+      }
+    };
+  }
+
+  // If the main document scrolls dismiss the search results
+  // (otherwise, since they're floating in the document they can scroll with the document)
+  window.document.body.onscroll = throttle(() => {
+    // Only do this if we're not detached
+    // Bug #7117
+    // This will happen when the keyboard is shown on ios (resulting in a scroll)
+    // which then closed the search UI
+    if (!window.matchMedia(detachedMediaQuery).matches) {
+      setIsOpen(false);
+    }
+  }, 50);
+
+  if (showSearchResults) {
+    setIsOpen(true);
+    focusSearchInput();
+  }
+});
+
+function configurePlugins(quartoSearchOptions) {
+  const autocompletePlugins = [];
+  const algoliaOptions = quartoSearchOptions.algolia;
+  if (
+    algoliaOptions &&
+    algoliaOptions["analytics-events"] &&
+    algoliaOptions["search-only-api-key"] &&
+    algoliaOptions["application-id"]
+  ) {
+    const apiKey = algoliaOptions["search-only-api-key"];
+    const appId = algoliaOptions["application-id"];
+
+    // Aloglia insights may not be loaded because they require cookie consent
+    // Use deferred loading so events will start being recorded when/if consent
+    // is granted.
+    const algoliaInsightsDeferredPlugin = deferredLoadPlugin(() => {
+      if (
+        window.aa &&
+        window["@algolia/autocomplete-plugin-algolia-insights"]
+      ) {
+        window.aa("init", {
+          appId,
+          apiKey,
+          useCookie: true,
+        });
+
+        const { createAlgoliaInsightsPlugin } =
+          window["@algolia/autocomplete-plugin-algolia-insights"];
+        // Register the insights client
+        const algoliaInsightsPlugin = createAlgoliaInsightsPlugin({
+          insightsClient: window.aa,
+          onItemsChange({ insights, insightsEvents }) {
+            const events = insightsEvents.flatMap((event) => {
+              // This API limits the number of items per event to 20
+              const chunkSize = 20;
+              const itemChunks = [];
+              const eventItems = event.items;
+              for (let i = 0; i < eventItems.length; i += chunkSize) {
+                itemChunks.push(eventItems.slice(i, i + chunkSize));
+              }
+              // Split the items into multiple events that can be sent
+              const events = itemChunks.map((items) => {
+                return {
+                  ...event,
+                  items,
+                };
+              });
+              return events;
+            });
+
+            for (const event of events) {
+              insights.viewedObjectIDs(event);
+            }
+          },
+        });
+        return algoliaInsightsPlugin;
+      }
+    });
+
+    // Add the plugin
+    autocompletePlugins.push(algoliaInsightsDeferredPlugin);
+    return autocompletePlugins;
+  }
+}
+
+// For plugins that may not load immediately, create a wrapper
+// plugin and forward events and plugin data once the plugin
+// is initialized. This is useful for cases like cookie consent
+// which may prevent the analytics insights event plugin from initializing
+// immediately.
+function deferredLoadPlugin(createPlugin) {
+  let plugin = undefined;
+  let subscribeObj = undefined;
+  const wrappedPlugin = () => {
+    if (!plugin && subscribeObj) {
+      plugin = createPlugin();
+      if (plugin && plugin.subscribe) {
+        plugin.subscribe(subscribeObj);
+      }
+    }
+    return plugin;
+  };
+
+  return {
+    subscribe: (obj) => {
+      subscribeObj = obj;
+    },
+    onStateChange: (obj) => {
+      const plugin = wrappedPlugin();
+      if (plugin && plugin.onStateChange) {
+        plugin.onStateChange(obj);
+      }
+    },
+    onSubmit: (obj) => {
+      const plugin = wrappedPlugin();
+      if (plugin && plugin.onSubmit) {
+        plugin.onSubmit(obj);
+      }
+    },
+    onReset: (obj) => {
+      const plugin = wrappedPlugin();
+      if (plugin && plugin.onReset) {
+        plugin.onReset(obj);
+      }
+    },
+    getSources: (obj) => {
+      const plugin = wrappedPlugin();
+      if (plugin && plugin.getSources) {
+        return plugin.getSources(obj);
+      } else {
+        return Promise.resolve([]);
+      }
+    },
+    data: (obj) => {
+      const plugin = wrappedPlugin();
+      if (plugin && plugin.data) {
+        plugin.data(obj);
+      }
+    },
+  };
+}
+
+function validateItems(items) {
+  // Validate the first item
+  if (items.length > 0) {
+    const item = items[0];
+    const missingFields = [];
+    if (item.href == undefined) {
+      missingFields.push("href");
+    }
+    if (!item.title == undefined) {
+      missingFields.push("title");
+    }
+    if (!item.text == undefined) {
+      missingFields.push("text");
+    }
+
+    if (missingFields.length === 1) {
+      throw {
+        name: `Error: Search index is missing the <code>${missingFields[0]}</code> field.`,
+        message: `The items being returned for this search do not include all the required fields. Please ensure that your index items include the <code>${missingFields[0]}</code> field or use <code>index-fields</code> in your <code>_quarto.yml</code> file to specify the field names.`,
+      };
+    } else if (missingFields.length > 1) {
+      const missingFieldList = missingFields
+        .map((field) => {
+          return `<code>${field}</code>`;
+        })
+        .join(", ");
+
+      throw {
+        name: `Error: Search index is missing the following fields: ${missingFieldList}.`,
+        message: `The items being returned for this search do not include all the required fields. Please ensure that your index items includes the following fields: ${missingFieldList}, or use <code>index-fields</code> in your <code>_quarto.yml</code> file to specify the field names.`,
+      };
+    }
+  }
+}
+
+let lastQuery = null;
+function showCopyLink(query, options) {
+  const language = options.language;
+  lastQuery = query;
+  // Insert share icon
+  const inputSuffixEl = window.document.body.querySelector(
+    ".aa-Form .aa-InputWrapperSuffix"
+  );
+
+  if (inputSuffixEl) {
+    let copyButtonEl = window.document.body.querySelector(
+      ".aa-Form .aa-InputWrapperSuffix .aa-CopyButton"
+    );
+
+    if (copyButtonEl === null) {
+      copyButtonEl = window.document.createElement("button");
+      copyButtonEl.setAttribute("class", "aa-CopyButton");
+      copyButtonEl.setAttribute("type", "button");
+      copyButtonEl.setAttribute("title", language["search-copy-link-title"]);
+      copyButtonEl.onmousedown = (e) => {
+        e.preventDefault();
+        e.stopPropagation();
+      };
+
+      const linkIcon = "bi-clipboard";
+      const checkIcon = "bi-check2";
+
+      const shareIconEl = window.document.createElement("i");
+      shareIconEl.setAttribute("class", `bi ${linkIcon}`);
+      copyButtonEl.appendChild(shareIconEl);
+      inputSuffixEl.prepend(copyButtonEl);
+
+      const clipboard = new window.ClipboardJS(".aa-CopyButton", {
+        text: function (_trigger) {
+          const copyUrl = new URL(window.location);
+          copyUrl.searchParams.set(kQueryArg, lastQuery);
+          copyUrl.searchParams.set(kResultsArg, "1");
+          return copyUrl.toString();
+        },
+      });
+      clipboard.on("success", function (e) {
+        // Focus the input
+
+        // button target
+        const button = e.trigger;
+        const icon = button.querySelector("i.bi");
+
+        // flash "checked"
+        icon.classList.add(checkIcon);
+        icon.classList.remove(linkIcon);
+        setTimeout(function () {
+          icon.classList.remove(checkIcon);
+          icon.classList.add(linkIcon);
+        }, 1000);
+      });
+    }
+
+    // If there is a query, show the link icon
+    if (copyButtonEl) {
+      if (lastQuery && options["copy-button"]) {
+        copyButtonEl.style.display = "flex";
+      } else {
+        copyButtonEl.style.display = "none";
+      }
+    }
+  }
+}
+
+/* Search Index Handling */
+// create the index
+var fuseIndex = undefined;
+var shownWarning = false;
+
+// fuse index options
+const kFuseIndexOptions = {
+  keys: [
+    { name: "title", weight: 20 },
+    { name: "section", weight: 20 },
+    { name: "text", weight: 10 },
+  ],
+  ignoreLocation: true,
+  threshold: 0.1,
+};
+
+async function readSearchData() {
+  // Initialize the search index on demand
+  if (fuseIndex === undefined) {
+    if (window.location.protocol === "file:" && !shownWarning) {
+      window.alert(
+        "Search requires JavaScript features disabled when running in file://... URLs. In order to use search, please run this document in a web server."
+      );
+      shownWarning = true;
+      return;
+    }
+    const fuse = new window.Fuse([], kFuseIndexOptions);
+
+    // fetch the main search.json
+    const response = await fetch(offsetURL("search.json"));
+    if (response.status == 200) {
+      return response.json().then(function (searchDocs) {
+        searchDocs.forEach(function (searchDoc) {
+          fuse.add(searchDoc);
+        });
+        fuseIndex = fuse;
+        return fuseIndex;
+      });
+    } else {
+      return Promise.reject(
+        new Error(
+          "Unexpected status from search index request: " + response.status
+        )
+      );
+    }
+  }
+
+  return fuseIndex;
+}
+
+function inputElement() {
+  return window.document.body.querySelector(".aa-Form .aa-Input");
+}
+
+function focusSearchInput() {
+  setTimeout(() => {
+    const inputEl = inputElement();
+    if (inputEl) {
+      inputEl.focus();
+    }
+  }, 50);
+}
+
+/* Panels */
+const kItemTypeDoc = "document";
+const kItemTypeMore = "document-more";
+const kItemTypeItem = "document-item";
+const kItemTypeError = "error";
+
+function renderItem(
+  item,
+  createElement,
+  state,
+  setActiveItemId,
+  setContext,
+  refresh,
+  quartoSearchOptions
+) {
+  switch (item.type) {
+    case kItemTypeDoc:
+      return createDocumentCard(
+        createElement,
+        "file-richtext",
+        item.title,
+        item.section,
+        item.text,
+        item.href,
+        item.crumbs,
+        quartoSearchOptions
+      );
+    case kItemTypeMore:
+      return createMoreCard(
+        createElement,
+        item,
+        state,
+        setActiveItemId,
+        setContext,
+        refresh
+      );
+    case kItemTypeItem:
+      return createSectionCard(
+        createElement,
+        item.section,
+        item.text,
+        item.href
+      );
+    case kItemTypeError:
+      return createErrorCard(createElement, item.title, item.text);
+    default:
+      return undefined;
+  }
+}
+
+function createDocumentCard(
+  createElement,
+  icon,
+  title,
+  section,
+  text,
+  href,
+  crumbs,
+  quartoSearchOptions
+) {
+  const iconEl = createElement("i", {
+    class: `bi bi-${icon} search-result-icon`,
+  });
+  const titleEl = createElement("p", { class: "search-result-title" }, title);
+  const titleContents = [iconEl, titleEl];
+  const showParent = quartoSearchOptions["show-item-context"];
+  if (crumbs && showParent) {
+    let crumbsOut = undefined;
+    const crumbClz = ["search-result-crumbs"];
+    if (showParent === "root") {
+      crumbsOut = crumbs.length > 1 ? crumbs[0] : undefined;
+    } else if (showParent === "parent") {
+      crumbsOut = crumbs.length > 1 ? crumbs[crumbs.length - 2] : undefined;
+    } else {
+      crumbsOut = crumbs.length > 1 ? crumbs.join(" > ") : undefined;
+      crumbClz.push("search-result-crumbs-wrap");
+    }
+
+    const crumbEl = createElement(
+      "p",
+      { class: crumbClz.join(" ") },
+      crumbsOut
+    );
+    titleContents.push(crumbEl);
+  }
+
+  const titleContainerEl = createElement(
+    "div",
+    { class: "search-result-title-container" },
+    titleContents
+  );
+
+  const textEls = [];
+  if (section) {
+    const sectionEl = createElement(
+      "p",
+      { class: "search-result-section" },
+      section
+    );
+    textEls.push(sectionEl);
+  }
+  const descEl = createElement("p", {
+    class: "search-result-text",
+    dangerouslySetInnerHTML: {
+      __html: text,
+    },
+  });
+  textEls.push(descEl);
+
+  const textContainerEl = createElement(
+    "div",
+    { class: "search-result-text-container" },
+    textEls
+  );
+
+  const containerEl = createElement(
+    "div",
+    {
+      class: "search-result-container",
+    },
+    [titleContainerEl, textContainerEl]
+  );
+
+  const linkEl = createElement(
+    "a",
+    {
+      href: offsetURL(href),
+      class: "search-result-link",
+    },
+    containerEl
+  );
+
+  const classes = ["search-result-doc", "search-item"];
+  if (!section) {
+    classes.push("document-selectable");
+  }
+
+  return createElement(
+    "div",
+    {
+      class: classes.join(" "),
+    },
+    linkEl
+  );
+}
+
+function createMoreCard(
+  createElement,
+  item,
+  state,
+  setActiveItemId,
+  setContext,
+  refresh
+) {
+  const moreCardEl = createElement(
+    "div",
+    {
+      class: "search-result-more search-item",
+      onClick: (e) => {
+        // Handle expanding the sections by adding the expanded
+        // section to the list of expanded sections
+        toggleExpanded(item, state, setContext, setActiveItemId, refresh);
+        e.stopPropagation();
+      },
+    },
+    item.title
+  );
+
+  return moreCardEl;
+}
+
+function toggleExpanded(item, state, setContext, setActiveItemId, refresh) {
+  const expanded = state.context.expanded || [];
+  if (expanded.includes(item.target)) {
+    setContext({
+      expanded: expanded.filter((target) => target !== item.target),
+    });
+  } else {
+    setContext({ expanded: [...expanded, item.target] });
+  }
+
+  refresh();
+  setActiveItemId(item.__autocomplete_id);
+}
+
+function createSectionCard(createElement, section, text, href) {
+  const sectionEl = createSection(createElement, section, text, href);
+  return createElement(
+    "div",
+    {
+      class: "search-result-doc-section search-item",
+    },
+    sectionEl
+  );
+}
+
+function createSection(createElement, title, text, href) {
+  const descEl = createElement("p", {
+    class: "search-result-text",
+    dangerouslySetInnerHTML: {
+      __html: text,
+    },
+  });
+
+  const titleEl = createElement("p", { class: "search-result-section" }, title);
+  const linkEl = createElement(
+    "a",
+    {
+      href: offsetURL(href),
+      class: "search-result-link",
+    },
+    [titleEl, descEl]
+  );
+  return linkEl;
+}
+
+function createErrorCard(createElement, title, text) {
+  const descEl = createElement("p", {
+    class: "search-error-text",
+    dangerouslySetInnerHTML: {
+      __html: text,
+    },
+  });
+
+  const titleEl = createElement("p", {
+    class: "search-error-title",
+    dangerouslySetInnerHTML: {
+      __html: `<i class="bi bi-exclamation-circle search-error-icon"></i> ${title}`,
+    },
+  });
+  const errorEl = createElement("div", { class: "search-error" }, [
+    titleEl,
+    descEl,
+  ]);
+  return errorEl;
+}
+
+function positionPanel(pos) {
+  const panelEl = window.document.querySelector(
+    "#quarto-search-results .aa-Panel"
+  );
+  const inputEl = window.document.querySelector(
+    "#quarto-search .aa-Autocomplete"
+  );
+
+  if (panelEl && inputEl) {
+    panelEl.style.top = `${Math.round(panelEl.offsetTop)}px`;
+    if (pos === "start") {
+      panelEl.style.left = `${Math.round(inputEl.left)}px`;
+    } else {
+      panelEl.style.right = `${Math.round(inputEl.offsetRight)}px`;
+    }
+  }
+}
+
+/* Highlighting */
+// highlighting functions
+function highlightMatch(query, text) {
+  if (text) {
+    const start = text.toLowerCase().indexOf(query.toLowerCase());
+    if (start !== -1) {
+      const startMark = "<mark class='search-match'>";
+      const endMark = "</mark>";
+
+      const end = start + query.length;
+      text =
+        text.slice(0, start) +
+        startMark +
+        text.slice(start, end) +
+        endMark +
+        text.slice(end);
+      const startInfo = clipStart(text, start);
+      const endInfo = clipEnd(
+        text,
+        startInfo.position + startMark.length + endMark.length
+      );
+      text =
+        startInfo.prefix +
+        text.slice(startInfo.position, endInfo.position) +
+        endInfo.suffix;
+
+      return text;
+    } else {
+      return text;
+    }
+  } else {
+    return text;
+  }
+}
+
+function clipStart(text, pos) {
+  const clipStart = pos - 50;
+  if (clipStart < 0) {
+    // This will just return the start of the string
+    return {
+      position: 0,
+      prefix: "",
+    };
+  } else {
+    // We're clipping before the start of the string, walk backwards to the first space.
+    const spacePos = findSpace(text, pos, -1);
+    return {
+      position: spacePos.position,
+      prefix: "",
+    };
+  }
+}
+
+function clipEnd(text, pos) {
+  const clipEnd = pos + 200;
+  if (clipEnd > text.length) {
+    return {
+      position: text.length,
+      suffix: "",
+    };
+  } else {
+    const spacePos = findSpace(text, clipEnd, 1);
+    return {
+      position: spacePos.position,
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+  <li><a href="#introduction" id="toc-introduction" class="nav-link active" data-scroll-target="#introduction">Introduction</a></li>
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+<h1 class="title"><em>spaceprime</em> for R users</h1>
+</div>
+
+
+
+<div class="quarto-title-meta">
+
+    
+  
+    
+  </div>
+  
+
+
+</header>
+
+
+<section id="introduction" class="level2">
+<h2 class="anchored" data-anchor-id="introduction">Introduction</h2>
+<p>The primary reason for implementing <em>spaceprime</em> in Python is to facilitate a natural integration with the <a href="https://msprime.readthedocs.io/en/stable/"><em>msprime</em></a> library. While there are R packages that can interface with <em>msprime</em>, most notably <a href="https://www.slendr.net/">slendr</a>, maintaining the connection between R and Python adds significant maintenance overhead. If someone wants to pay me to maintain it, I’d be happy to create an R API, but until then, Python it is! It’s also good to learn a little Python- <a href="https://www.tiobe.com/tiobe-index/">it’s a very useful language to know</a>. Fortunately, you don’t have to be an expert in Python to use <em>spaceprime</em>, so I’ll get you up to speed on the basics.</p>
+</section>
+<section id="installation" class="level2">
+<h2 class="anchored" data-anchor-id="installation">Installation</h2>
+<p>In R, package installation is designed to be easy, which is manageable due to R’s limited scope. Python is an incredibly diverse language, so flexibility in package design and management is valued more than ease of use. The focus then is to create unique development environments for the projects you are working on. This facilitates reproducibility as well as an explicit and clean developing environment.</p>
+<p>To maintain a clean developing environment, it’s common practice to use a virtual environment for your projects. This is a self-contained Python environment that allows you to install packages without affecting your system Python installation. The most popular package for managing virtual environments is <a href="https://docs.conda.io/en/latest/">conda</a>. There are multiple <em>conda</em> distributions, but I recommend installing <a href="https://github.com/conda-forge/miniforge?tab=readme-ov-file">the miniforge distribution</a>, which contains the <a href="https://mamba.readthedocs.io/en/latest/user_guide/mamba.html#mamba">mamba</a> package manager. Mamba is a faster, more efficient package manager than <em>conda</em>, and it’s what I use to install packages. If you’re already familiar with <em>conda</em>, <em>mamba</em> is a drop-in replacement.</p>
+<p>Once you have miniforge installed, you can create a new environment with the following command:</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="ex">mamba</span> create <span class="at">-n</span> spaceprime</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<p>This will create a new environment called <em>spaceprime</em>. To activate the environment, use the following command:</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="ex">mamba</span> activate spaceprime</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<p>Now, when you install packages, they will be installed in the <em>spaceprime</em> environment. To install the packages you need for this tutorial, use the following command:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="ex">mamba</span> install spaceprime rasterio geopandas</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<p>The <em>rasterio</em> and <em>geopandas</em> packages are used for reading in and manipulating spatial data. I’ll discuss them in more detail later.</p>
+</section>
+<section id="loading-packages" class="level2">
+<h2 class="anchored" data-anchor-id="loading-packages">Loading packages</h2>
+<p>In Python, you load packages using the <code>import</code> statement. For example, to load the <em>spaceprime</em> package, you would use the following command:</p>
+<div id="python_import" class="cell" data-execution_count="1">
+<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> spaceprime <span class="im">as</span> sp</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>The <code>as sp</code> part of the command is an alias, which allows you to refer to the package by a shorter name. You want to do this for longer package names to save typing. Python requires you to use the package name when calling functions from the package, rather than it being optional, like in R. For example, to call a function from the <em>spaceprime</em> package, you would use the following syntax:</p>
+<div id="python_call" class="cell" data-execution_count="2">
+<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>sp.function_name()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>This is analogous to the <code>package::function_name()</code> syntax in R.</p>
+<p>In Python, you can also import specific modules or functions from a package, rather than importing the entire package. For example, to import just the <code>demography</code> module from the <em>spaceprime</em> package, you would use the following command:</p>
+<div id="import_demography" class="cell" data-execution_count="3">
+<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> spaceprime <span class="im">import</span> demography</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<div class="callout callout-style-default callout-tip callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Modules
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>In Python, a module is a file that contains code you can use to perform specific tasks. This code can include functions, variables, and classes. Python packages typically contain multiple modules, each of which performs a specific set of tasks. Unlike in R, Python allows you to import specific modules or functions from a package, rather than having to load the entire package.</p>
+</div>
+</div>
+<p>If you want to just import the <code>raster_to_demes()</code> function from the <code>utilities</code> module, you would use the following command:</p>
+<div id="import_raster_to_demes" class="cell" data-execution_count="4">
+<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> spaceprime.utilities <span class="im">import</span> raster_to_demes</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<section id="import-the-necessary-packages" class="level3">
+<h3 class="anchored" data-anchor-id="import-the-necessary-packages">Import the necessary packages</h3>
+<p>For this tutorial, we’ll be using the <em>spaceprime</em>, <em>rasterio</em>, and <em>geopandas</em> packages.</p>
+<div id="import_packages" class="cell" data-execution_count="5">
+<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> spaceprime <span class="im">as</span> sp</span>
+<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> rasterio</span>
+<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> geopandas <span class="im">as</span> gpd</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>The <a href="https://rasterio.readthedocs.io/en/latest/">rasterio</a> package is used for reading, manipulating, and writing raster data, with its closest R analogue being the <a href="https://rspatial.org/terra/">terra package</a>. The <a href="https://geopandas.org/">geopandas</a> package is used for reading, manipulating, and writing vector data, with its closest R analogue being the <a href="https://r-spatial.github.io/sf/">sf package</a>.</p>
+</section>
+</section>
+<section id="download-data" class="level2">
+<h2 class="anchored" data-anchor-id="download-data">Download data</h2>
+<p>The data we’re using in this example are a <a href="https://en.wikipedia.org/wiki/GeoTIFF">GeoTiff</a> raster file of habitat suitability values and a <a href="https://geojson.org/">GeoJSON</a> file containing geographic localities and metadata for this cute frog, <em>Phyllomedusa distincta</em>:</p>
+<div class="quarto-figure quarto-figure-center">
+<figure class="figure">
+<p><img src="images/pdistincta.jpg" class="img-fluid quarto-figure quarto-figure-center figure-img" style="width:50.0%"></p>
+</figure>
+</div>
+<p>Follow the link to download the <a href="https://github.com/connor-french/spaceprime/raw/main/spaceprime/data/projections.tif">projections.tif file</a>. You do not need to download the <a href="https://raw.githubusercontent.com/connor-french/spaceprime/main/spaceprime/data/localities.geojson">localities.geojson</a> file, as it is read in from the web in the code below.</p>
+<p>The raster file contains 23 layers, where each layer is a projection of the <a href="https://en.wikipedia.org/wiki/Species_distribution_modelling">habitat suitability model (aka species distribution model or ecological niche model)</a> to a time slice in the past, ranging from the present day to 22,000 years ago in 1,000 year intervals. The habitat suitability values range from zero to one, where zero represents no suitability for the species and one represents perfect suitability. In the following plots, <strong>yellow represents higher suitability and purple represents lower suitability</strong>. Here are a few time slices of the model:</p>
+<div id="cell-timeslices1" class="cell" data-execution_count="6">
+<div class="cell-output cell-output-display">
+<div>
+<figure class="figure">
+<p><img src="spaceprime-for-r-users_files/figure-html/timeslices1-output-1.png" id="timeslices1" width="802" height="758" class="figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<p>The GeoJSON file contains geographic sampling localities of <em>P. distincta</em> in the Brazilian Atlantic Forest, along with metadata about each locality. Each row is a single individual/observation. <em>spaceprime</em> counts the number of observations with coordinates that overlap with a raster cell/deme and samples the calculated number for simulations and summary statistics. Here are the localities plotted on top of the present-day habitat suitability model:</p>
+<div id="cell-localities" class="cell" data-execution_count="7">
+<div class="cell-output cell-output-display">
+<div>
+<figure class="figure">
+<p><img src="spaceprime-for-r-users_files/figure-html/localities-output-1.png" id="localities" width="440" height="485" class="figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<section id="read-in-data" class="level3">
+<h3 class="anchored" data-anchor-id="read-in-data">Read in data</h3>
+<p>Make sure to replace the <code>projections.tif</code> file path with the path to the file on your system. The GeoJSON file is read in from the web, so you don’t need to download it. Notice that each function is called with the package name or alias followed by a period, then the function name!</p>
+<div id="read-data" class="cell" data-execution_count="8">
+<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>r <span class="op">=</span> rasterio.<span class="bu">open</span>(<span class="st">"projections.tif"</span>)</span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>locs <span class="op">=</span> gpd.read_file(<span class="st">"https://raw.githubusercontent.com/connor-french/spaceprime/main/spaceprime/data/localities.geojson"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>To check out your raster object, you can print the <code>meta</code> attribute to the console. This will give you a summary of the raster, including the number of bands, the width and height of the raster, the coordinate reference system (CRS), and the bounds of the raster.</p>
+<div id="print-raster" class="cell" data-execution_count="9">
+<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(r.meta)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-stdout">
+<pre><code>{'driver': 'GTiff', 'dtype': 'float32', 'nodata': nan, 'width': 58, 'height': 60, 'count': 23, 'crs': CRS.from_epsg(4326), 'transform': Affine(0.16666666600000002, 0.0, -54.16680605885,
+       0.0, -0.166666666, -21.666805828849988)}</code></pre>
+</div>
+</div>
+<p>To check out your GeoDataFrame object, use the <code>head()</code> method, which will print the first few rows to your console.</p>
+<div id="cell-print-geodataframe" class="cell" data-execution_count="10">
+<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>locs.head()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div id="print-geodataframe" class="cell-output cell-output-display" data-execution_count="5">
+<div>
+
+
+<table class="dataframe caption-top table table-sm table-striped small" data-quarto-postprocess="true" data-border="1">
+<thead>
+<tr class="header">
+<th data-quarto-table-cell-role="th"></th>
+<th data-quarto-table-cell-role="th">species</th>
+<th data-quarto-table-cell-role="th">longitude</th>
+<th data-quarto-table-cell-role="th">latitude</th>
+<th data-quarto-table-cell-role="th">individual_id</th>
+<th data-quarto-table-cell-role="th">anc_pop_id</th>
+<th data-quarto-table-cell-role="th">geometry</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td data-quarto-table-cell-role="th">0</td>
+<td>distincta</td>
+<td>-48.633300</td>
+<td>-25.883300</td>
+<td>1145545021</td>
+<td>1.0</td>
+<td>POINT (-48.6333 -25.8833)</td>
+</tr>
+<tr class="even">
+<td data-quarto-table-cell-role="th">1</td>
+<td>distincta</td>
+<td>-48.716829</td>
+<td>-27.169879</td>
+<td>3044567206</td>
+<td>2.0</td>
+<td>POINT (-48.71683 -27.16988)</td>
+</tr>
+<tr class="odd">
+<td data-quarto-table-cell-role="th">2</td>
+<td>distincta</td>
+<td>-47.983204</td>
+<td>-24.116604</td>
+<td>2596355434</td>
+<td>1.0</td>
+<td>POINT (-47.9832 -24.1166)</td>
+</tr>
+<tr class="even">
+<td data-quarto-table-cell-role="th">3</td>
+<td>distincta</td>
+<td>-47.014321</td>
+<td>-24.369859</td>
+<td>3772589489</td>
+<td>1.0</td>
+<td>POINT (-47.01432 -24.36986)</td>
+</tr>
+<tr class="odd">
+<td data-quarto-table-cell-role="th">4</td>
+<td>distincta</td>
+<td>-49.581356</td>
+<td>-28.559573</td>
+<td>2448001684</td>
+<td>2.0</td>
+<td>POINT (-49.58136 -28.55957)</td>
+</tr>
+</tbody>
+</table>
+
+</div>
+</div>
+</div>
+<p>If you would like to perform further data exploration on your GeoDataFrame object, I highly recommend the <a href="https://plotnine.org/">plotnine</a> package, which is a Python implementation of the <a href="https://ggplot2.tidyverse.org/">ggplot2</a> package in R. It uses the grammar of graphics to make nice plots. It’s the most painless way to switch from R plotting to Python plotting.</p>
+</section>
+</section>
+<section id="set-up-the-demographic-model" class="level2">
+<h2 class="anchored" data-anchor-id="set-up-the-demographic-model">Set up the demographic model</h2>
+<p>Next, we’ll convert the habitat suitability values into deme sizes, so each cell in the raster will represent a deme in our model. We’ll use a linear transformation to convert the suitability values to deme sizes, where the suitability value is multiplied by a constant to get the deme size. The constant is the maximum local deme size, which we set to 1000. For more on transformations, see the <a href="./transformation-functions.html">suitability to deme size transformation functions vignette</a>.</p>
+<div id="raster-to-demes" class="cell" data-execution_count="11">
+<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a>d <span class="op">=</span> sp.raster_to_demes(r, transformation<span class="op">=</span><span class="st">"linear"</span>, max_local_size<span class="op">=</span><span class="dv">1000</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>Now that we have our deme sizes, we can set up the demographic model. <em>spaceprime</em> uses an <a href="https://www.techtarget.com/searchapparchitecture/definition/object-oriented-programming-OOP">object-oriented programming</a> paradigm for creating a demographic model. Although most R users are more familiar with a <a href="https://www.turing.com/kb/introduction-to-functional-programming">functional programming</a> paradigm, object-oriented programming <a href="https://adv-r.hadley.nz/oo.html">does exist in R</a>.</p>
+<p>In object-oriented programming, you create an instance of a class and then call methods on that instance. The class is like a blueprint for creating objects, and the methods are functions that operate on the object’s data. This is useful for creating complex data structures like demographic models, where you have multiple components that interact with each other.</p>
+<p>In <em>spaceprime</em>, the <code>spDemography</code> class is used to set up the demographic model. The <a href="./reference/spDemography.html">spDemography class</a> has methods for setting up the spatial component of the model, adding ancestral populations, and inherits all of the methods of the <a href="https://tskit.dev/msprime/docs/stable/demography.html"><em>msprime</em> Demography class</a>.</p>
+<div id="demography-init" class="cell" data-execution_count="12">
+<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>demo <span class="op">=</span> sp.spDemography()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>Now you can run methods on the <code>demo</code> object to set up the demographic model. The first method we’ll run is the <code>stepping_stone_2d()</code> method, which sets up a two-dimensional stepping-stone model. The migration rate, specified by <code>rate</code>, can be a single global rate or an array of values specifying each neighbor’s migration rate. Here, we’re using a global rate of 0.001. The global rate by default is scaled, where demes exchange the same number of migrants with their neighbors, regardless of deme size. To change this behavior, set <code>scale=false</code>. We’re assuming that <em>P. distincta</em> has a generation time of one year. Using a single value for the <code>timesteps</code> argument tells spaceprime that 1000 generations passes in between each raster time step in the model.</p>
+<p>This step may take a few seconds (10-15 seconds on my machine) to run.</p>
+<div id="demography" class="cell" data-execution_count="13">
+<div class="sourceCode cell-code" id="cb15"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="co"># populate the spDemography object with the deme sizes and migration rates</span></span>
+<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a>demo.stepping_stone_2d(d, rate<span class="op">=</span><span class="fl">0.001</span>, timesteps<span class="op">=</span><span class="dv">1000</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>You may have noticed that we didn’t assign the output to a new variable. This is because the <code>stepping_stone_2d()</code> method modifies the <code>demo</code> object in place, rather than returning a new object. This is a common pattern in object-oriented programming, where methods modify the object they’re called on rather than returning a new object.</p>
+<p>After initializing the spatial component of the simulation, it’s desirable to add one or more ancestral populations to the model. This is done by providing a list of ancestral population sizes and the time (in generations) at which the spatially distributed demes migrate into the ancestral population(s). The following code adds a single ancestral population of 100,000 individuals that demes merge into 23,000 generations in the past. The brackets in <code>[100000]</code> specify a list in python. In this case, it is a list of length one.</p>
+<div id="anc-pops" class="cell" data-execution_count="14">
+<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a><span class="co"># add ancestral population</span></span>
+<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>demo.add_ancestral_populations([<span class="dv">100000</span>], <span class="dv">23000</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<section id="inspect-your-model" class="level3">
+<h3 class="anchored" data-anchor-id="inspect-your-model">Inspect your model</h3>
+<p>Now that we have our demographic model set up, we can inspect it to make sure it looks as expected. <em>spaceprime</em> has a series of <code>plot_()</code> functions that make this easier.</p>
+<section id="plot_landscape" class="level4">
+<h4 class="anchored" data-anchor-id="plot_landscape"><code>plot_landscape()</code></h4>
+<p><code>plot_landscape()</code> plots the deme sizes in space, which allows you to quickly inspect whether the transformation you applied to your habitat suitability map make sense. Here, we provide the demographic model object, the raster object, the index of the time slice to plot (0 for the present day in this case), and <code>basemap=True</code> to add an <a href="https://www.openstreetmap.org/">OpenStreetMap</a> basemap, providing geographic context to the plot. If you don’t have an internet connection, set <code>basemap=False</code> (the default) to plot without the basemap.</p>
+<div id="cell-plot-landscape" class="cell" data-execution_count="15">
+<div class="sourceCode cell-code" id="cb17"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>sp.plot_landscape(demo, r, <span class="dv">0</span>, basemap<span class="op">=</span><span class="va">True</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-display">
+<div>
+<figure class="figure">
+<p><img src="spaceprime-for-r-users_files/figure-html/plot-landscape-output-1.png" id="plot-landscape" width="507" height="416" class="figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+</section>
+<section id="plot_model" class="level4">
+<h4 class="anchored" data-anchor-id="plot_model"><code>plot_model()</code></h4>
+<p><code>plot_model()</code> plots the deme sizes on a <a href="https://python-visualization.github.io/folium/latest/index.html">folium</a> interactive map, with precise deme sizes and outgoing migration rates for each deme present in a popup.</p>
+<div id="cell-plot-model" class="cell" data-execution_count="16">
+<div class="sourceCode cell-code" id="cb18"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a>sp.plot_model(demo, r, <span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div id="plot-model" class="cell-output cell-output-display" data-execution_count="11">
+<div style="width:100%;"><div style="position:relative;width:100%;height:0;padding-bottom:60%;"><span style="color:#565656">Make this Notebook Trusted to load map: File -&gt; Trust Notebook</span><iframe srcdoc="<!DOCTYPE html>
+<html>
+<head>
+    
+    <meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; />
+    
+        <script>
+            L_NO_TOUCH = false;
+            L_DISABLE_3D = false;
+        </script>
+    
+    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
+    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
+    <script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;></script>
+    <script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;></script>
+    <script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;></script>
+    <script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;></script>
+    <link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/>
+    <link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/>
+    <link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap-glyphicons.css&quot;/>
+    <link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/>
+    <link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/>
+    <link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/>
+    
+            <meta name=&quot;viewport&quot; content=&quot;width=device-width,
+                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; />
+            <style>
+                #map_b3163c5987fa6eab6cf3b6d28c1e9db7 {
+                    position: relative;
+                    width: 100.0%;
+                    height: 100.0%;
+                    left: 0.0%;
+                    top: 0.0%;
+                }
+                .leaflet-container { font-size: 1rem; }
+            </style>
+        
+    
+                    <style>
+                        .foliumtooltip {
+                            
+                        }
+                       .foliumtooltip table{
+                            margin: auto;
+                        }
+                        .foliumtooltip tr{
+                            text-align: left;
+                        }
+                        .foliumtooltip th{
+                            padding: 2px; padding-right: 8px;
+                        }
+                    </style>
+            
+    <script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js&quot;></script>
+</head>
+<body>
+    
+    
+            <div class=&quot;folium-map&quot; id=&quot;map_b3163c5987fa6eab6cf3b6d28c1e9db7&quot; ></div>
+        
+</body>
+<script>
+    
+    
+            var map_b3163c5987fa6eab6cf3b6d28c1e9db7 = L.map(
+                &quot;map_b3163c5987fa6eab6cf3b6d28c1e9db7&quot;,
+                {
+                    center: [-26.50013914284999, -49.41680607785],
+                    crs: L.CRS.EPSG3857,
+                    zoom: 10,
+                    zoomControl: true,
+                    preferCanvas: false,
+                }
+            );
+            L.control.scale().addTo(map_b3163c5987fa6eab6cf3b6d28c1e9db7);
+
+            
+
+        
+    
+            var tile_layer_0d89e2526ce52562e54e23011025eace = L.tileLayer(
+                &quot;https://a.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png&quot;,
+                {&quot;attribution&quot;: &quot;\u0026copy; \u003ca href=\&quot;https://www.openstreetmap.org/copyright\&quot;\u003eOpenStreetMap\u003c/a\u003e contributors \u0026copy; \u003ca href=\&quot;https://carto.com/attributions\&quot;\u003eCARTO\u003c/a\u003e&quot;, &quot;detectRetina&quot;: false, &quot;maxZoom&quot;: 20, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}
+            );
+        
+    
+            tile_layer_0d89e2526ce52562e54e23011025eace.addTo(map_b3163c5987fa6eab6cf3b6d28c1e9db7);
+        
+    
+            map_b3163c5987fa6eab6cf3b6d28c1e9db7.fitBounds(
+                [[-31.33347245684999, -54.16680605885], [-21.666805828849988, -44.666806096849996]],
+                {}
+            );
+        
+    
+        function geo_json_4168af176760ca2c87672909c4f6a1c3_styler(feature) {
+            switch(feature.id) {
+                case &quot;0&quot;: case &quot;1509&quot;: case &quot;1586&quot;: case &quot;1590&quot;: case &quot;1698&quot;: case &quot;1700&quot;: case &quot;1727&quot;: 
+                    return {&quot;color&quot;: &quot;#481668&quot;, &quot;fillColor&quot;: &quot;#481668&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1&quot;: case &quot;8&quot;: case &quot;20&quot;: case &quot;21&quot;: case &quot;25&quot;: case &quot;26&quot;: case &quot;35&quot;: case &quot;1315&quot;: case &quot;1319&quot;: case &quot;1564&quot;: case &quot;1603&quot;: case &quot;1636&quot;: case &quot;1645&quot;: case &quot;1664&quot;: case &quot;1699&quot;: case &quot;1701&quot;: 
+                    return {&quot;color&quot;: &quot;#481769&quot;, &quot;fillColor&quot;: &quot;#481769&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;2&quot;: case &quot;3&quot;: case &quot;19&quot;: case &quot;22&quot;: case &quot;24&quot;: case &quot;27&quot;: case &quot;36&quot;: case &quot;37&quot;: case &quot;55&quot;: case &quot;56&quot;: case &quot;1318&quot;: case &quot;1320&quot;: case &quot;1501&quot;: case &quot;1563&quot;: case &quot;1565&quot;: case &quot;1591&quot;: case &quot;1626&quot;: case &quot;1644&quot;: case &quot;1655&quot;: case &quot;1663&quot;: case &quot;1709&quot;: case &quot;1711&quot;: case &quot;1734&quot;: 
+                    return {&quot;color&quot;: &quot;#48186a&quot;, &quot;fillColor&quot;: &quot;#48186a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;4&quot;: case &quot;1386&quot;: case &quot;1529&quot;: case &quot;1587&quot;: case &quot;1608&quot;: case &quot;1614&quot;: case &quot;1646&quot;: case &quot;1689&quot;: 
+                    return {&quot;color&quot;: &quot;#481467&quot;, &quot;fillColor&quot;: &quot;#481467&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;5&quot;: case &quot;7&quot;: case &quot;1317&quot;: case &quot;1589&quot;: case &quot;1612&quot;: case &quot;1627&quot;: case &quot;1628&quot;: case &quot;1647&quot;: case &quot;1665&quot;: case &quot;1726&quot;: 
+                    return {&quot;color&quot;: &quot;#471365&quot;, &quot;fillColor&quot;: &quot;#471365&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;6&quot;: case &quot;1588&quot;: case &quot;1602&quot;: case &quot;1611&quot;: case &quot;1613&quot;: case &quot;1635&quot;: case &quot;1673&quot;: case &quot;1692&quot;: case &quot;1697&quot;: 
+                    return {&quot;color&quot;: &quot;#471164&quot;, &quot;fillColor&quot;: &quot;#471164&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;9&quot;: case &quot;17&quot;: case &quot;34&quot;: case &quot;44&quot;: case &quot;48&quot;: case &quot;57&quot;: case &quot;95&quot;: case &quot;1357&quot;: case &quot;1540&quot;: case &quot;1543&quot;: case &quot;1544&quot;: case &quot;1567&quot;: case &quot;1607&quot;: case &quot;1643&quot;: case &quot;1661&quot;: case &quot;1712&quot;: case &quot;1716&quot;: case &quot;1728&quot;: 
+                    return {&quot;color&quot;: &quot;#481b6d&quot;, &quot;fillColor&quot;: &quot;#481b6d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;10&quot;: case &quot;16&quot;: case &quot;28&quot;: case &quot;30&quot;: case &quot;47&quot;: case &quot;53&quot;: case &quot;65&quot;: case &quot;75&quot;: case &quot;94&quot;: case &quot;104&quot;: case &quot;1358&quot;: case &quot;1606&quot;: case &quot;1623&quot;: case &quot;1625&quot;: case &quot;1736&quot;: 
+                    return {&quot;color&quot;: &quot;#481f70&quot;, &quot;fillColor&quot;: &quot;#481f70&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;11&quot;: case &quot;103&quot;: case &quot;134&quot;: case &quot;276&quot;: case &quot;1393&quot;: case &quot;1394&quot;: case &quot;1451&quot;: case &quot;1452&quot;: case &quot;1454&quot;: case &quot;1481&quot;: case &quot;1482&quot;: case &quot;1484&quot;: case &quot;1605&quot;: case &quot;1704&quot;: 
+                    return {&quot;color&quot;: &quot;#482475&quot;, &quot;fillColor&quot;: &quot;#482475&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;12&quot;: case &quot;29&quot;: case &quot;50&quot;: case &quot;52&quot;: case &quot;1324&quot;: case &quot;1360&quot;: case &quot;1361&quot;: case &quot;1389&quot;: case &quot;1444&quot;: case &quot;1511&quot;: case &quot;1514&quot;: case &quot;1537&quot;: case &quot;1637&quot;: case &quot;1718&quot;: case &quot;1721&quot;: case &quot;1731&quot;: case &quot;1732&quot;: case &quot;1735&quot;: 
+                    return {&quot;color&quot;: &quot;#482071&quot;, &quot;fillColor&quot;: &quot;#482071&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;13&quot;: case &quot;14&quot;: case &quot;31&quot;: case &quot;49&quot;: case &quot;54&quot;: case &quot;66&quot;: case &quot;67&quot;: case &quot;68&quot;: case &quot;96&quot;: case &quot;1353&quot;: case &quot;1354&quot;: case &quot;1355&quot;: case &quot;1388&quot;: case &quot;1390&quot;: case &quot;1542&quot;: case &quot;1545&quot;: case &quot;1561&quot;: case &quot;1568&quot;: case &quot;1585&quot;: case &quot;1593&quot;: case &quot;1642&quot;: case &quot;1703&quot;: case &quot;1717&quot;: case &quot;1720&quot;: case &quot;1723&quot;: case &quot;1724&quot;: case &quot;1743&quot;: 
+                    return {&quot;color&quot;: &quot;#481c6e&quot;, &quot;fillColor&quot;: &quot;#481c6e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;15&quot;: case &quot;61&quot;: case &quot;62&quot;: case &quot;86&quot;: case &quot;87&quot;: case &quot;1290&quot;: case &quot;1291&quot;: case &quot;1387&quot;: case &quot;1392&quot;: case &quot;1445&quot;: case &quot;1483&quot;: case &quot;1510&quot;: case &quot;1515&quot;: case &quot;1571&quot;: case &quot;1584&quot;: case &quot;1604&quot;: case &quot;1624&quot;: 
+                    return {&quot;color&quot;: &quot;#482374&quot;, &quot;fillColor&quot;: &quot;#482374&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;18&quot;: case &quot;23&quot;: case &quot;42&quot;: case &quot;43&quot;: case &quot;1321&quot;: case &quot;1322&quot;: case &quot;1356&quot;: case &quot;1420&quot;: case &quot;1539&quot;: case &quot;1562&quot;: case &quot;1566&quot;: case &quot;1583&quot;: case &quot;1592&quot;: case &quot;1615&quot;: case &quot;1662&quot;: case &quot;1702&quot;: case &quot;1710&quot;: case &quot;1713&quot;: case &quot;1740&quot;: 
+                    return {&quot;color&quot;: &quot;#481a6c&quot;, &quot;fillColor&quot;: &quot;#481a6c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;32&quot;: case &quot;60&quot;: case &quot;64&quot;: case &quot;69&quot;: case &quot;76&quot;: case &quot;101&quot;: case &quot;105&quot;: case &quot;1289&quot;: case &quot;1325&quot;: case &quot;1326&quot;: case &quot;1359&quot;: case &quot;1391&quot;: case &quot;1423&quot;: case &quot;1485&quot;: case &quot;1512&quot;: case &quot;1513&quot;: case &quot;1516&quot;: case &quot;1517&quot;: case &quot;1546&quot;: case &quot;1570&quot;: case &quot;1594&quot;: case &quot;1690&quot;: case &quot;1737&quot;: 
+                    return {&quot;color&quot;: &quot;#482173&quot;, &quot;fillColor&quot;: &quot;#482173&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;33&quot;: case &quot;51&quot;: case &quot;58&quot;: case &quot;59&quot;: case &quot;63&quot;: case &quot;1323&quot;: case &quot;1538&quot;: case &quot;1541&quot;: case &quot;1569&quot;: case &quot;1616&quot;: case &quot;1678&quot;: case &quot;1679&quot;: case &quot;1722&quot;: case &quot;1729&quot;: case &quot;1730&quot;: 
+                    return {&quot;color&quot;: &quot;#481d6f&quot;, &quot;fillColor&quot;: &quot;#481d6f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;38&quot;: case &quot;84&quot;: case &quot;98&quot;: case &quot;127&quot;: case &quot;130&quot;: case &quot;140&quot;: case &quot;144&quot;: case &quot;183&quot;: case &quot;196&quot;: case &quot;223&quot;: case &quot;227&quot;: case &quot;229&quot;: case &quot;230&quot;: case &quot;242&quot;: case &quot;318&quot;: case &quot;321&quot;: case &quot;405&quot;: case &quot;417&quot;: case &quot;631&quot;: case &quot;709&quot;: case &quot;746&quot;: case &quot;782&quot;: case &quot;1617&quot;: 
+                    return {&quot;color&quot;: &quot;#472a7a&quot;, &quot;fillColor&quot;: &quot;#472a7a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;39&quot;: case &quot;73&quot;: case &quot;125&quot;: case &quot;189&quot;: case &quot;238&quot;: case &quot;314&quot;: case &quot;338&quot;: case &quot;465&quot;: case &quot;551&quot;: case &quot;672&quot;: case &quot;706&quot;: case &quot;744&quot;: case &quot;976&quot;: case &quot;1180&quot;: case &quot;1519&quot;: case &quot;1572&quot;: case &quot;1596&quot;: 
+                    return {&quot;color&quot;: &quot;#453781&quot;, &quot;fillColor&quot;: &quot;#453781&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;40&quot;: case &quot;168&quot;: case &quot;169&quot;: case &quot;188&quot;: case &quot;219&quot;: case &quot;232&quot;: case &quot;245&quot;: case &quot;247&quot;: case &quot;261&quot;: case &quot;265&quot;: case &quot;278&quot;: case &quot;311&quot;: case &quot;312&quot;: case &quot;320&quot;: case &quot;370&quot;: case &quot;460&quot;: case &quot;548&quot;: case &quot;592&quot;: case &quot;597&quot;: case &quot;599&quot;: case &quot;707&quot;: case &quot;781&quot;: case &quot;822&quot;: case &quot;957&quot;: case &quot;1050&quot;: case &quot;1328&quot;: case &quot;1363&quot;: case &quot;1618&quot;: case &quot;1739&quot;: 
+                    return {&quot;color&quot;: &quot;#46327e&quot;, &quot;fillColor&quot;: &quot;#46327e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;41&quot;: case &quot;70&quot;: case &quot;74&quot;: case &quot;77&quot;: case &quot;90&quot;: case &quot;114&quot;: case &quot;139&quot;: case &quot;146&quot;: case &quot;184&quot;: case &quot;225&quot;: case &quot;271&quot;: case &quot;356&quot;: case &quot;357&quot;: case &quot;457&quot;: case &quot;507&quot;: case &quot;553&quot;: case &quot;554&quot;: case &quot;1288&quot;: case &quot;1327&quot;: case &quot;1362&quot;: case &quot;1395&quot;: case &quot;1426&quot;: case &quot;1456&quot;: 
+                    return {&quot;color&quot;: &quot;#482878&quot;, &quot;fillColor&quot;: &quot;#482878&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;45&quot;: case &quot;111&quot;: case &quot;180&quot;: case &quot;187&quot;: case &quot;199&quot;: case &quot;231&quot;: case &quot;243&quot;: case &quot;246&quot;: case &quot;262&quot;: case &quot;308&quot;: case &quot;309&quot;: case &quot;323&quot;: case &quot;368&quot;: case &quot;416&quot;: case &quot;453&quot;: case &quot;504&quot;: case &quot;552&quot;: case &quot;555&quot;: case &quot;1258&quot;: case &quot;1733&quot;: 
+                    return {&quot;color&quot;: &quot;#472e7c&quot;, &quot;fillColor&quot;: &quot;#472e7c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;46&quot;: case &quot;967&quot;: case &quot;1260&quot;: 
+                    return {&quot;color&quot;: &quot;#27808e&quot;, &quot;fillColor&quot;: &quot;#27808e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;71&quot;: case &quot;233&quot;: case &quot;239&quot;: case &quot;260&quot;: case &quot;266&quot;: case &quot;369&quot;: case &quot;372&quot;: case &quot;596&quot;: case &quot;638&quot;: case &quot;711&quot;: case &quot;817&quot;: case &quot;956&quot;: case &quot;1080&quot;: case &quot;1181&quot;: case &quot;1213&quot;: case &quot;1397&quot;: case &quot;1429&quot;: 
+                    return {&quot;color&quot;: &quot;#453882&quot;, &quot;fillColor&quot;: &quot;#453882&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;72&quot;: case &quot;350&quot;: case &quot;462&quot;: case &quot;466&quot;: case &quot;468&quot;: case &quot;521&quot;: case &quot;594&quot;: case &quot;716&quot;: case &quot;790&quot;: case &quot;813&quot;: case &quot;848&quot;: case &quot;855&quot;: case &quot;1049&quot;: case &quot;1082&quot;: case &quot;1116&quot;: case &quot;1224&quot;: case &quot;1279&quot;: case &quot;1329&quot;: 
+                    return {&quot;color&quot;: &quot;#404688&quot;, &quot;fillColor&quot;: &quot;#404688&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;78&quot;: case &quot;159&quot;: case &quot;203&quot;: case &quot;281&quot;: case &quot;304&quot;: case &quot;327&quot;: case &quot;349&quot;: case &quot;515&quot;: case &quot;516&quot;: case &quot;635&quot;: case &quot;675&quot;: case &quot;721&quot;: case &quot;847&quot;: case &quot;881&quot;: case &quot;918&quot;: case &quot;922&quot;: case &quot;924&quot;: case &quot;1418&quot;: 
+                    return {&quot;color&quot;: &quot;#3f4788&quot;, &quot;fillColor&quot;: &quot;#3f4788&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;79&quot;: case &quot;352&quot;: case &quot;395&quot;: case &quot;528&quot;: case &quot;1130&quot;: 
+                    return {&quot;color&quot;: &quot;#2f6c8e&quot;, &quot;fillColor&quot;: &quot;#2f6c8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;80&quot;: case &quot;545&quot;: case &quot;576&quot;: case &quot;654&quot;: case &quot;799&quot;: case &quot;1133&quot;: case &quot;1263&quot;: case &quot;1658&quot;: 
+                    return {&quot;color&quot;: &quot;#1f988b&quot;, &quot;fillColor&quot;: &quot;#1f988b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;81&quot;: case &quot;701&quot;: case &quot;904&quot;: case &quot;1193&quot;: 
+                    return {&quot;color&quot;: &quot;#20a486&quot;, &quot;fillColor&quot;: &quot;#20a486&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;82&quot;: case &quot;1229&quot;: case &quot;1401&quot;: 
+                    return {&quot;color&quot;: &quot;#1e9d89&quot;, &quot;fillColor&quot;: &quot;#1e9d89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;83&quot;: case &quot;447&quot;: case &quot;866&quot;: case &quot;894&quot;: case &quot;1056&quot;: case &quot;1400&quot;: 
+                    return {&quot;color&quot;: &quot;#2c738e&quot;, &quot;fillColor&quot;: &quot;#2c738e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;85&quot;: case &quot;107&quot;: case &quot;113&quot;: case &quot;129&quot;: case &quot;138&quot;: case &quot;157&quot;: case &quot;158&quot;: case &quot;179&quot;: case &quot;277&quot;: case &quot;358&quot;: case &quot;367&quot;: case &quot;407&quot;: case &quot;669&quot;: case &quot;670&quot;: case &quot;1292&quot;: case &quot;1457&quot;: case &quot;1487&quot;: case &quot;1488&quot;: case &quot;1656&quot;: case &quot;1725&quot;: case &quot;1738&quot;: 
+                    return {&quot;color&quot;: &quot;#482979&quot;, &quot;fillColor&quot;: &quot;#482979&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;88&quot;: case &quot;89&quot;: case &quot;91&quot;: case &quot;92&quot;: case &quot;97&quot;: case &quot;100&quot;: case &quot;115&quot;: case &quot;135&quot;: case &quot;136&quot;: case &quot;147&quot;: case &quot;178&quot;: case &quot;224&quot;: case &quot;273&quot;: case &quot;274&quot;: case &quot;288&quot;: case &quot;408&quot;: case &quot;458&quot;: case &quot;505&quot;: case &quot;590&quot;: case &quot;1421&quot;: case &quot;1425&quot;: case &quot;1486&quot;: case &quot;1518&quot;: case &quot;1595&quot;: case &quot;1719&quot;: case &quot;1744&quot;: 
+                    return {&quot;color&quot;: &quot;#482677&quot;, &quot;fillColor&quot;: &quot;#482677&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;93&quot;: case &quot;102&quot;: case &quot;133&quot;: case &quot;272&quot;: case &quot;275&quot;: case &quot;506&quot;: case &quot;630&quot;: case &quot;1257&quot;: case &quot;1422&quot;: case &quot;1424&quot;: case &quot;1453&quot;: case &quot;1455&quot;: 
+                    return {&quot;color&quot;: &quot;#482576&quot;, &quot;fillColor&quot;: &quot;#482576&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;106&quot;: case &quot;153&quot;: case &quot;155&quot;: case &quot;174&quot;: case &quot;195&quot;: case &quot;197&quot;: case &quot;215&quot;: case &quot;217&quot;: case &quot;218&quot;: case &quot;310&quot;: case &quot;359&quot;: case &quot;361&quot;: case &quot;454&quot;: case &quot;500&quot;: case &quot;598&quot;: case &quot;710&quot;: case &quot;1396&quot;: case &quot;1428&quot;: case &quot;1450&quot;: case &quot;1674&quot;: case &quot;1705&quot;: case &quot;1747&quot;: 
+                    return {&quot;color&quot;: &quot;#46307e&quot;, &quot;fillColor&quot;: &quot;#46307e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;108&quot;: case &quot;148&quot;: case &quot;176&quot;: case &quot;193&quot;: case &quot;194&quot;: case &quot;198&quot;: case &quot;290&quot;: case &quot;313&quot;: case &quot;360&quot;: case &quot;366&quot;: case &quot;501&quot;: case &quot;851&quot;: case &quot;987&quot;: case &quot;1256&quot;: case &quot;1449&quot;: case &quot;1490&quot;: case &quot;1746&quot;: 
+                    return {&quot;color&quot;: &quot;#463480&quot;, &quot;fillColor&quot;: &quot;#463480&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;109&quot;: case &quot;235&quot;: case &quot;237&quot;: case &quot;293&quot;: case &quot;316&quot;: case &quot;326&quot;: case &quot;388&quot;: case &quot;413&quot;: case &quot;604&quot;: case &quot;641&quot;: case &quot;642&quot;: case &quot;676&quot;: case &quot;712&quot;: case &quot;748&quot;: case &quot;854&quot;: case &quot;856&quot;: case &quot;883&quot;: case &quot;950&quot;: case &quot;984&quot;: case &quot;1016&quot;: case &quot;1053&quot;: case &quot;1113&quot;: case &quot;1216&quot;: case &quot;1398&quot;: case &quot;1430&quot;: case &quot;1748&quot;: 
+                    return {&quot;color&quot;: &quot;#424186&quot;, &quot;fillColor&quot;: &quot;#424186&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;110&quot;: case &quot;124&quot;: case &quot;213&quot;: case &quot;234&quot;: case &quot;286&quot;: case &quot;303&quot;: case &quot;422&quot;: case &quot;549&quot;: case &quot;601&quot;: case &quot;637&quot;: case &quot;643&quot;: case &quot;850&quot;: case &quot;852&quot;: case &quot;1179&quot;: case &quot;1215&quot;: case &quot;1283&quot;: case &quot;1461&quot;: 
+                    return {&quot;color&quot;: &quot;#443b84&quot;, &quot;fillColor&quot;: &quot;#443b84&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;112&quot;: case &quot;175&quot;: case &quot;214&quot;: case &quot;371&quot;: case &quot;600&quot;: case &quot;978&quot;: case &quot;1008&quot;: case &quot;1147&quot;: case &quot;1460&quot;: 
+                    return {&quot;color&quot;: &quot;#453581&quot;, &quot;fillColor&quot;: &quot;#453581&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;116&quot;: case &quot;221&quot;: case &quot;259&quot;: case &quot;291&quot;: case &quot;317&quot;: case &quot;362&quot;: case &quot;412&quot;: case &quot;502&quot;: case &quot;503&quot;: case &quot;509&quot;: case &quot;556&quot;: case &quot;644&quot;: case &quot;977&quot;: 
+                    return {&quot;color&quot;: &quot;#443a83&quot;, &quot;fillColor&quot;: &quot;#443a83&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;117&quot;: case &quot;249&quot;: case &quot;343&quot;: case &quot;429&quot;: case &quot;432&quot;: case &quot;513&quot;: case &quot;723&quot;: case &quot;1042&quot;: case &quot;1043&quot;: case &quot;1120&quot;: case &quot;1140&quot;: case &quot;1150&quot;: case &quot;1175&quot;: case &quot;1210&quot;: case &quot;1244&quot;: 
+                    return {&quot;color&quot;: &quot;#39568c&quot;, &quot;fillColor&quot;: &quot;#39568c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;118&quot;: case &quot;377&quot;: case &quot;424&quot;: case &quot;479&quot;: case &quot;514&quot;: case &quot;792&quot;: case &quot;1010&quot;: case &quot;1073&quot;: case &quot;1111&quot;: case &quot;1142&quot;: case &quot;1151&quot;: case &quot;1246&quot;: case &quot;1253&quot;: 
+                    return {&quot;color&quot;: &quot;#3a548c&quot;, &quot;fillColor&quot;: &quot;#3a548c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;119&quot;: case &quot;120&quot;: case &quot;160&quot;: case &quot;164&quot;: case &quot;376&quot;: case &quot;609&quot;: case &quot;611&quot;: case &quot;1055&quot;: case &quot;1207&quot;: case &quot;1208&quot;: 
+                    return {&quot;color&quot;: &quot;#31668e&quot;, &quot;fillColor&quot;: &quot;#31668e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;121&quot;: case &quot;375&quot;: case &quot;426&quot;: case &quot;1044&quot;: case &quot;1106&quot;: case &quot;1107&quot;: case &quot;1639&quot;: 
+                    return {&quot;color&quot;: &quot;#375a8c&quot;, &quot;fillColor&quot;: &quot;#375a8c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;122&quot;: case &quot;428&quot;: case &quot;472&quot;: case &quot;607&quot;: 
+                    return {&quot;color&quot;: &quot;#365d8d&quot;, &quot;fillColor&quot;: &quot;#365d8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;123&quot;: case &quot;830&quot;: case &quot;1156&quot;: case &quot;1171&quot;: case &quot;1277&quot;: case &quot;1313&quot;: 
+                    return {&quot;color&quot;: &quot;#2c718e&quot;, &quot;fillColor&quot;: &quot;#2c718e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;128&quot;: case &quot;137&quot;: case &quot;141&quot;: case &quot;142&quot;: case &quot;143&quot;: case &quot;171&quot;: case &quot;172&quot;: case &quot;173&quot;: case &quot;177&quot;: case &quot;182&quot;: case &quot;185&quot;: case &quot;191&quot;: case &quot;200&quot;: case &quot;226&quot;: case &quot;228&quot;: case &quot;241&quot;: case &quot;263&quot;: case &quot;322&quot;: case &quot;406&quot;: case &quot;459&quot;: case &quot;546&quot;: case &quot;745&quot;: case &quot;1427&quot;: case &quot;1458&quot;: case &quot;1489&quot;: case &quot;1638&quot;: 
+                    return {&quot;color&quot;: &quot;#472c7a&quot;, &quot;fillColor&quot;: &quot;#472c7a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;131&quot;: case &quot;132&quot;: case &quot;145&quot;: case &quot;170&quot;: case &quot;181&quot;: case &quot;186&quot;: case &quot;192&quot;: case &quot;201&quot;: case &quot;216&quot;: case &quot;258&quot;: case &quot;270&quot;: case &quot;287&quot;: case &quot;289&quot;: case &quot;319&quot;: case &quot;409&quot;: case &quot;456&quot;: case &quot;508&quot;: case &quot;547&quot;: case &quot;591&quot;: case &quot;668&quot;: case &quot;708&quot;: case &quot;783&quot;: case &quot;1223&quot;: case &quot;1741&quot;: 
+                    return {&quot;color&quot;: &quot;#472d7b&quot;, &quot;fillColor&quot;: &quot;#472d7b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;149&quot;: case &quot;340&quot;: case &quot;363&quot;: case &quot;373&quot;: case &quot;436&quot;: case &quot;602&quot;: case &quot;605&quot;: case &quot;720&quot;: case &quot;742&quot;: case &quot;818&quot;: case &quot;823&quot;: case &quot;849&quot;: case &quot;1217&quot;: case &quot;1286&quot;: 
+                    return {&quot;color&quot;: &quot;#414487&quot;, &quot;fillColor&quot;: &quot;#414487&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;150&quot;: case &quot;284&quot;: case &quot;342&quot;: case &quot;383&quot;: case &quot;430&quot;: case &quot;484&quot;: case &quot;511&quot;: case &quot;786&quot;: case &quot;859&quot;: case &quot;953&quot;: case &quot;1019&quot;: case &quot;1072&quot;: case &quot;1074&quot;: case &quot;1462&quot;: 
+                    return {&quot;color&quot;: &quot;#3b528b&quot;, &quot;fillColor&quot;: &quot;#3b528b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;151&quot;: case &quot;328&quot;: case &quot;374&quot;: case &quot;378&quot;: case &quot;471&quot;: case &quot;646&quot;: case &quot;751&quot;: case &quot;757&quot;: case &quot;952&quot;: case &quot;1076&quot;: case &quot;1110&quot;: case &quot;1144&quot;: case &quot;1149&quot;: case &quot;1186&quot;: case &quot;1254&quot;: case &quot;1472&quot;: case &quot;1492&quot;: 
+                    return {&quot;color&quot;: &quot;#3a538b&quot;, &quot;fillColor&quot;: &quot;#3a538b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;152&quot;: case &quot;292&quot;: case &quot;339&quot;: case &quot;418&quot;: case &quot;461&quot;: case &quot;593&quot;: case &quot;633&quot;: case &quot;754&quot;: case &quot;857&quot;: case &quot;886&quot;: case &quot;1084&quot;: case &quot;1214&quot;: case &quot;1282&quot;: case &quot;1742&quot;: 
+                    return {&quot;color&quot;: &quot;#433d84&quot;, &quot;fillColor&quot;: &quot;#433d84&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;154&quot;: case &quot;220&quot;: case &quot;325&quot;: case &quot;464&quot;: case &quot;639&quot;: case &quot;640&quot;: case &quot;680&quot;: case &quot;718&quot;: case &quot;719&quot;: case &quot;885&quot;: case &quot;944&quot;: case &quot;1115&quot;: case &quot;1364&quot;: case &quot;1382&quot;: 
+                    return {&quot;color&quot;: &quot;#443983&quot;, &quot;fillColor&quot;: &quot;#443983&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;161&quot;: case &quot;618&quot;: case &quot;764&quot;: case &quot;1159&quot;: case &quot;1161&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa187&quot;, &quot;fillColor&quot;: &quot;#1fa187&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;162&quot;: case &quot;452&quot;: case &quot;653&quot;: case &quot;655&quot;: case &quot;732&quot;: case &quot;970&quot;: case &quot;1333&quot;: case &quot;1367&quot;: 
+                    return {&quot;color&quot;: &quot;#1f9a8a&quot;, &quot;fillColor&quot;: &quot;#1f9a8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;163&quot;: case &quot;442&quot;: case &quot;571&quot;: case &quot;794&quot;: case &quot;1172&quot;: 
+                    return {&quot;color&quot;: &quot;#32648e&quot;, &quot;fillColor&quot;: &quot;#32648e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;165&quot;: case &quot;400&quot;: case &quot;482&quot;: case &quot;608&quot;: case &quot;795&quot;: case &quot;860&quot;: case &quot;926&quot;: case &quot;1022&quot;: case &quot;1188&quot;: case &quot;1276&quot;: 
+                    return {&quot;color&quot;: &quot;#30698e&quot;, &quot;fillColor&quot;: &quot;#30698e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;166&quot;: case &quot;254&quot;: case &quot;835&quot;: case &quot;869&quot;: case &quot;969&quot;: 
+                    return {&quot;color&quot;: &quot;#218f8d&quot;, &quot;fillColor&quot;: &quot;#218f8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;167&quot;: case &quot;661&quot;: case &quot;739&quot;: case &quot;872&quot;: 
+                    return {&quot;color&quot;: &quot;#4cc26c&quot;, &quot;fillColor&quot;: &quot;#4cc26c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;190&quot;: case &quot;222&quot;: case &quot;335&quot;: case &quot;336&quot;: case &quot;337&quot;: case &quot;411&quot;: case &quot;455&quot;: case &quot;747&quot;: case &quot;815&quot;: case &quot;816&quot;: case &quot;1114&quot;: case &quot;1212&quot;: case &quot;1287&quot;: 
+                    return {&quot;color&quot;: &quot;#46337f&quot;, &quot;fillColor&quot;: &quot;#46337f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;202&quot;: case &quot;236&quot;: case &quot;269&quot;: case &quot;420&quot;: case &quot;470&quot;: case &quot;550&quot;: case &quot;743&quot;: case &quot;755&quot;: case &quot;814&quot;: case &quot;888&quot;: case &quot;1079&quot;: case &quot;1083&quot;: case &quot;1419&quot;: case &quot;1520&quot;: 
+                    return {&quot;color&quot;: &quot;#423f85&quot;, &quot;fillColor&quot;: &quot;#423f85&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;204&quot;: case &quot;491&quot;: case &quot;575&quot;: case &quot;797&quot;: case &quot;901&quot;: case &quot;994&quot;: case &quot;996&quot;: case &quot;1000&quot;: case &quot;1001&quot;: case &quot;1026&quot;: case &quot;1030&quot;: case &quot;1095&quot;: case &quot;1272&quot;: case &quot;1273&quot;: case &quot;1274&quot;: case &quot;1366&quot;: case &quot;1410&quot;: case &quot;1575&quot;: 
+                    return {&quot;color&quot;: &quot;#26828e&quot;, &quot;fillColor&quot;: &quot;#26828e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;205&quot;: case &quot;538&quot;: case &quot;1227&quot;: 
+                    return {&quot;color&quot;: &quot;#3bbb75&quot;, &quot;fillColor&quot;: &quot;#3bbb75&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;206&quot;: case &quot;449&quot;: case &quot;725&quot;: case &quot;765&quot;: case &quot;834&quot;: case &quot;1061&quot;: case &quot;1158&quot;: case &quot;1225&quot;: case &quot;1231&quot;: case &quot;1264&quot;: 
+                    return {&quot;color&quot;: &quot;#23888e&quot;, &quot;fillColor&quot;: &quot;#23888e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;207&quot;: case &quot;730&quot;: case &quot;1063&quot;: case &quot;1265&quot;: case &quot;1295&quot;: case &quot;1376&quot;: case &quot;1378&quot;: case &quot;1522&quot;: 
+                    return {&quot;color&quot;: &quot;#228c8d&quot;, &quot;fillColor&quot;: &quot;#228c8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;208&quot;: case &quot;448&quot;: case &quot;897&quot;: case &quot;931&quot;: case &quot;964&quot;: case &quot;1122&quot;: case &quot;1442&quot;: 
+                    return {&quot;color&quot;: &quot;#277e8e&quot;, &quot;fillColor&quot;: &quot;#277e8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;209&quot;: case &quot;871&quot;: case &quot;1100&quot;: case &quot;1525&quot;: 
+                    return {&quot;color&quot;: &quot;#34b679&quot;, &quot;fillColor&quot;: &quot;#34b679&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;210&quot;: case &quot;624&quot;: case &quot;625&quot;: case &quot;702&quot;: case &quot;733&quot;: case &quot;1578&quot;: 
+                    return {&quot;color&quot;: &quot;#2eb37c&quot;, &quot;fillColor&quot;: &quot;#2eb37c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;211&quot;: case &quot;537&quot;: case &quot;656&quot;: case &quot;1226&quot;: 
+                    return {&quot;color&quot;: &quot;#22a884&quot;, &quot;fillColor&quot;: &quot;#22a884&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;212&quot;: case &quot;379&quot;: case &quot;425&quot;: case &quot;951&quot;: case &quot;1009&quot;: case &quot;1011&quot;: case &quot;1015&quot;: case &quot;1020&quot;: case &quot;1177&quot;: 
+                    return {&quot;color&quot;: &quot;#3d4e8a&quot;, &quot;fillColor&quot;: &quot;#3d4e8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;248&quot;: case &quot;364&quot;: case &quot;384&quot;: case &quot;437&quot;: case &quot;438&quot;: case &quot;520&quot;: case &quot;722&quot;: case &quot;779&quot;: case &quot;812&quot;: case &quot;879&quot;: case &quot;889&quot;: case &quot;915&quot;: case &quot;916&quot;: case &quot;917&quot;: case &quot;923&quot;: case &quot;954&quot;: case &quot;982&quot;: case &quot;1039&quot;: case &quot;1118&quot;: case &quot;1183&quot;: case &quot;1259&quot;: case &quot;1284&quot;: case &quot;1314&quot;: case &quot;1657&quot;: case &quot;1675&quot;: 
+                    return {&quot;color&quot;: &quot;#3f4889&quot;, &quot;fillColor&quot;: &quot;#3f4889&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;250&quot;: case &quot;301&quot;: case &quot;346&quot;: case &quot;932&quot;: case &quot;965&quot;: case &quot;966&quot;: case &quot;1347&quot;: case &quot;1348&quot;: 
+                    return {&quot;color&quot;: &quot;#297b8e&quot;, &quot;fillColor&quot;: &quot;#297b8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;251&quot;: case &quot;298&quot;: case &quot;693&quot;: case &quot;1196&quot;: 
+                    return {&quot;color&quot;: &quot;#1f948c&quot;, &quot;fillColor&quot;: &quot;#1f948c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;252&quot;: case &quot;494&quot;: case &quot;544&quot;: case &quot;586&quot;: case &quot;734&quot;: case &quot;905&quot;: case &quot;1495&quot;: case &quot;1621&quot;: 
+                    return {&quot;color&quot;: &quot;#2ab07f&quot;, &quot;fillColor&quot;: &quot;#2ab07f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;253&quot;: case &quot;1577&quot;: 
+                    return {&quot;color&quot;: &quot;#86d549&quot;, &quot;fillColor&quot;: &quot;#86d549&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;255&quot;: case &quot;620&quot;: case &quot;1404&quot;: 
+                    return {&quot;color&quot;: &quot;#6ccd5a&quot;, &quot;fillColor&quot;: &quot;#6ccd5a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;256&quot;: case &quot;543&quot;: case &quot;903&quot;: case &quot;1127&quot;: case &quot;1162&quot;: case &quot;1266&quot;: case &quot;1300&quot;: case &quot;1332&quot;: 
+                    return {&quot;color&quot;: &quot;#1e9b8a&quot;, &quot;fillColor&quot;: &quot;#1e9b8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;257&quot;: case &quot;279&quot;: case &quot;677&quot;: case &quot;682&quot;: case &quot;784&quot;: case &quot;821&quot;: case &quot;887&quot;: case &quot;1146&quot;: case &quot;1548&quot;: case &quot;1749&quot;: 
+                    return {&quot;color&quot;: &quot;#433e85&quot;, &quot;fillColor&quot;: &quot;#433e85&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;267&quot;: case &quot;386&quot;: case &quot;421&quot;: case &quot;595&quot;: case &quot;636&quot;: case &quot;645&quot;: case &quot;678&quot;: case &quot;683&quot;: case &quot;684&quot;: case &quot;780&quot;: case &quot;853&quot;: case &quot;858&quot;: case &quot;921&quot;: case &quot;983&quot;: case &quot;1017&quot;: case &quot;1081&quot;: case &quot;1085&quot;: case &quot;1184&quot;: case &quot;1293&quot;: case &quot;1691&quot;: 
+                    return {&quot;color&quot;: &quot;#424086&quot;, &quot;fillColor&quot;: &quot;#424086&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;268&quot;: case &quot;315&quot;: case &quot;334&quot;: case &quot;387&quot;: case &quot;415&quot;: case &quot;419&quot;: case &quot;673&quot;: case &quot;679&quot;: case &quot;681&quot;: case &quot;753&quot;: case &quot;884&quot;: case &quot;920&quot;: case &quot;955&quot;: case &quot;1182&quot;: case &quot;1491&quot;: 
+                    return {&quot;color&quot;: &quot;#414287&quot;, &quot;fillColor&quot;: &quot;#414287&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;280&quot;: case &quot;365&quot;: case &quot;385&quot;: case &quot;463&quot;: case &quot;469&quot;: case &quot;603&quot;: case &quot;717&quot;: case &quot;756&quot;: case &quot;882&quot;: case &quot;891&quot;: case &quot;919&quot;: case &quot;945&quot;: case &quot;946&quot;: case &quot;948&quot;: case &quot;979&quot;: case &quot;1018&quot;: case &quot;1048&quot;: case &quot;1117&quot;: case &quot;1148&quot;: 
+                    return {&quot;color&quot;: &quot;#404588&quot;, &quot;fillColor&quot;: &quot;#404588&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;282&quot;: case &quot;294&quot;: case &quot;302&quot;: case &quot;389&quot;: case &quot;517&quot;: case &quot;634&quot;: case &quot;674&quot;: case &quot;713&quot;: case &quot;880&quot;: case &quot;890&quot;: case &quot;912&quot;: case &quot;914&quot;: case &quot;980&quot;: case &quot;1047&quot;: case &quot;1052&quot;: case &quot;1078&quot;: case &quot;1247&quot;: case &quot;1281&quot;: 
+                    return {&quot;color&quot;: &quot;#3e4989&quot;, &quot;fillColor&quot;: &quot;#3e4989&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;283&quot;: case &quot;431&quot;: case &quot;467&quot;: case &quot;811&quot;: case &quot;988&quot;: case &quot;1077&quot;: case &quot;1152&quot;: case &quot;1218&quot;: 
+                    return {&quot;color&quot;: &quot;#3c508b&quot;, &quot;fillColor&quot;: &quot;#3c508b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;285&quot;: case &quot;295&quot;: case &quot;435&quot;: case &quot;522&quot;: case &quot;557&quot;: case &quot;820&quot;: case &quot;985&quot;: case &quot;1013&quot;: case &quot;1045&quot;: case &quot;1054&quot;: case &quot;1248&quot;: case &quot;1249&quot;: case &quot;1285&quot;: 
+                    return {&quot;color&quot;: &quot;#3b518b&quot;, &quot;fillColor&quot;: &quot;#3b518b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;296&quot;: case &quot;344&quot;: case &quot;397&quot;: case &quot;989&quot;: case &quot;1086&quot;: case &quot;1431&quot;: 
+                    return {&quot;color&quot;: &quot;#39558c&quot;, &quot;fillColor&quot;: &quot;#39558c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;297&quot;: case &quot;330&quot;: case &quot;483&quot;: case &quot;1242&quot;: case &quot;1597&quot;: 
+                    return {&quot;color&quot;: &quot;#32658e&quot;, &quot;fillColor&quot;: &quot;#32658e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;299&quot;: 
+                    return {&quot;color&quot;: &quot;#46c06f&quot;, &quot;fillColor&quot;: &quot;#46c06f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;300&quot;: case &quot;762&quot;: case &quot;767&quot;: case &quot;1166&quot;: case &quot;1298&quot;: case &quot;1334&quot;: 
+                    return {&quot;color&quot;: &quot;#1f958b&quot;, &quot;fillColor&quot;: &quot;#1f958b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;305&quot;: case &quot;826&quot;: case &quot;959&quot;: case &quot;992&quot;: case &quot;1139&quot;: 
+                    return {&quot;color&quot;: &quot;#33628d&quot;, &quot;fillColor&quot;: &quot;#33628d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;306&quot;: case &quot;731&quot;: case &quot;761&quot;: case &quot;867&quot;: case &quot;962&quot;: case &quot;968&quot;: case &quot;1002&quot;: case &quot;1198&quot;: case &quot;1493&quot;: case &quot;1599&quot;: 
+                    return {&quot;color&quot;: &quot;#24878e&quot;, &quot;fillColor&quot;: &quot;#24878e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;329&quot;: case &quot;396&quot;: case &quot;427&quot;: case &quot;1676&quot;: 
+                    return {&quot;color&quot;: &quot;#355f8d&quot;, &quot;fillColor&quot;: &quot;#355f8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;331&quot;: case &quot;647&quot;: case &quot;990&quot;: 
+                    return {&quot;color&quot;: &quot;#31688e&quot;, &quot;fillColor&quot;: &quot;#31688e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;332&quot;: case &quot;524&quot;: 
+                    return {&quot;color&quot;: &quot;#33638d&quot;, &quot;fillColor&quot;: &quot;#33638d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;333&quot;: case &quot;440&quot;: case &quot;1173&quot;: case &quot;1278&quot;: case &quot;1573&quot;: 
+                    return {&quot;color&quot;: &quot;#365c8d&quot;, &quot;fillColor&quot;: &quot;#365c8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;341&quot;: case &quot;381&quot;: case &quot;414&quot;: case &quot;512&quot;: case &quot;518&quot;: case &quot;559&quot;: case &quot;567&quot;: case &quot;569&quot;: case &quot;685&quot;: case &quot;714&quot;: case &quot;749&quot;: case &quot;778&quot;: case &quot;785&quot;: case &quot;789&quot;: case &quot;791&quot;: case &quot;824&quot;: case &quot;846&quot;: case &quot;949&quot;: case &quot;981&quot;: 
+                    return {&quot;color&quot;: &quot;#3e4c8a&quot;, &quot;fillColor&quot;: &quot;#3e4c8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;345&quot;: case &quot;392&quot;: case &quot;477&quot;: case &quot;527&quot;: case &quot;570&quot;: case &quot;612&quot;: case &quot;991&quot;: case &quot;1087&quot;: case &quot;1222&quot;: case &quot;1245&quot;: 
+                    return {&quot;color&quot;: &quot;#34608d&quot;, &quot;fillColor&quot;: &quot;#34608d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;347&quot;: case &quot;393&quot;: case &quot;724&quot;: case &quot;760&quot;: case &quot;1243&quot;: 
+                    return {&quot;color&quot;: &quot;#2f6b8e&quot;, &quot;fillColor&quot;: &quot;#2f6b8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;348&quot;: case &quot;433&quot;: case &quot;439&quot;: case &quot;475&quot;: case &quot;523&quot;: case &quot;564&quot;: case &quot;758&quot;: case &quot;1075&quot;: case &quot;1190&quot;: case &quot;1280&quot;: 
+                    return {&quot;color&quot;: &quot;#375b8d&quot;, &quot;fillColor&quot;: &quot;#375b8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;351&quot;: case &quot;380&quot;: case &quot;423&quot;: case &quot;473&quot;: case &quot;474&quot;: case &quot;561&quot;: case &quot;752&quot;: case &quot;925&quot;: case &quot;958&quot;: case &quot;1046&quot;: case &quot;1112&quot;: case &quot;1174&quot;: case &quot;1255&quot;: 
+                    return {&quot;color&quot;: &quot;#3d4d8a&quot;, &quot;fillColor&quot;: &quot;#3d4d8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;353&quot;: case &quot;1025&quot;: case &quot;1241&quot;: 
+                    return {&quot;color&quot;: &quot;#2a778e&quot;, &quot;fillColor&quot;: &quot;#2a778e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;354&quot;: case &quot;582&quot;: case &quot;619&quot;: case &quot;1465&quot;: case &quot;1553&quot;: 
+                    return {&quot;color&quot;: &quot;#31b57b&quot;, &quot;fillColor&quot;: &quot;#31b57b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;355&quot;: case &quot;497&quot;: 
+                    return {&quot;color&quot;: &quot;#70cf57&quot;, &quot;fillColor&quot;: &quot;#70cf57&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;382&quot;: case &quot;510&quot;: case &quot;562&quot;: case &quot;563&quot;: case &quot;606&quot;: case &quot;750&quot;: case &quot;777&quot;: case &quot;787&quot;: case &quot;788&quot;: case &quot;892&quot;: case &quot;986&quot;: case &quot;1014&quot;: case &quot;1041&quot;: case &quot;1108&quot;: case &quot;1119&quot;: case &quot;1143&quot;: case &quot;1176&quot;: case &quot;1211&quot;: case &quot;1250&quot;: case &quot;1365&quot;: case &quot;1414&quot;: case &quot;1443&quot;: 
+                    return {&quot;color&quot;: &quot;#3c4f8a&quot;, &quot;fillColor&quot;: &quot;#3c4f8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;390&quot;: case &quot;486&quot;: case &quot;525&quot;: case &quot;613&quot;: case &quot;686&quot;: case &quot;960&quot;: case &quot;1021&quot;: case &quot;1105&quot;: case &quot;1187&quot;: case &quot;1619&quot;: 
+                    return {&quot;color&quot;: &quot;#31678e&quot;, &quot;fillColor&quot;: &quot;#31678e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;391&quot;: case &quot;589&quot;: case &quot;827&quot;: case &quot;861&quot;: case &quot;927&quot;: case &quot;1204&quot;: case &quot;1432&quot;: 
+                    return {&quot;color&quot;: &quot;#2e6f8e&quot;, &quot;fillColor&quot;: &quot;#2e6f8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;394&quot;: case &quot;444&quot;: case &quot;862&quot;: case &quot;899&quot;: case &quot;1065&quot;: case &quot;1066&quot;: case &quot;1123&quot;: 
+                    return {&quot;color&quot;: &quot;#2a768e&quot;, &quot;fillColor&quot;: &quot;#2a768e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;398&quot;: case &quot;441&quot;: case &quot;481&quot;: case &quot;566&quot;: case &quot;759&quot;: case &quot;793&quot;: case &quot;1219&quot;: case &quot;1399&quot;: 
+                    return {&quot;color&quot;: &quot;#34618d&quot;, &quot;fillColor&quot;: &quot;#34618d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;399&quot;: case &quot;443&quot;: case &quot;572&quot;: case &quot;796&quot;: case &quot;829&quot;: case &quot;1088&quot;: case &quot;1205&quot;: case &quot;1549&quot;: 
+                    return {&quot;color&quot;: &quot;#2e6e8e&quot;, &quot;fillColor&quot;: &quot;#2e6e8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;401&quot;: case &quot;651&quot;: case &quot;652&quot;: case &quot;836&quot;: case &quot;1335&quot;: 
+                    return {&quot;color&quot;: &quot;#1e9c89&quot;, &quot;fillColor&quot;: &quot;#1e9c89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;402&quot;: case &quot;1069&quot;: case &quot;1270&quot;: 
+                    return {&quot;color&quot;: &quot;#aadc32&quot;, &quot;fillColor&quot;: &quot;#aadc32&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;403&quot;: case &quot;496&quot;: case &quot;626&quot;: case &quot;1168&quot;: 
+                    return {&quot;color&quot;: &quot;#7fd34e&quot;, &quot;fillColor&quot;: &quot;#7fd34e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;404&quot;: case &quot;939&quot;: 
+                    return {&quot;color&quot;: &quot;#50c46a&quot;, &quot;fillColor&quot;: &quot;#50c46a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;434&quot;: case &quot;478&quot;: case &quot;519&quot;: case &quot;526&quot;: case &quot;893&quot;: case &quot;1109&quot;: case &quot;1209&quot;: 
+                    return {&quot;color&quot;: &quot;#355e8d&quot;, &quot;fillColor&quot;: &quot;#355e8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;445&quot;: case &quot;489&quot;: case &quot;615&quot;: case &quot;801&quot;: case &quot;1238&quot;: case &quot;1380&quot;: case &quot;1471&quot;: 
+                    return {&quot;color&quot;: &quot;#287c8e&quot;, &quot;fillColor&quot;: &quot;#287c8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;446&quot;: case &quot;1121&quot;: case &quot;1124&quot;: case &quot;1206&quot;: 
+                    return {&quot;color&quot;: &quot;#2a788e&quot;, &quot;fillColor&quot;: &quot;#2a788e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;450&quot;: case &quot;533&quot;: case &quot;689&quot;: case &quot;729&quot;: case &quot;1233&quot;: case &quot;1261&quot;: case &quot;1370&quot;: case &quot;1402&quot;: 
+                    return {&quot;color&quot;: &quot;#21a685&quot;, &quot;fillColor&quot;: &quot;#21a685&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;451&quot;: case &quot;583&quot;: 
+                    return {&quot;color&quot;: &quot;#69cd5b&quot;, &quot;fillColor&quot;: &quot;#69cd5b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;476&quot;: case &quot;558&quot;: case &quot;565&quot;: case &quot;1012&quot;: case &quot;1153&quot;: case &quot;1294&quot;: 
+                    return {&quot;color&quot;: &quot;#38598c&quot;, &quot;fillColor&quot;: &quot;#38598c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;480&quot;: case &quot;485&quot;: case &quot;825&quot;: 
+                    return {&quot;color&quot;: &quot;#38588c&quot;, &quot;fillColor&quot;: &quot;#38588c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;487&quot;: case &quot;896&quot;: case &quot;934&quot;: case &quot;997&quot;: case &quot;999&quot;: case &quot;1098&quot;: case &quot;1163&quot;: case &quot;1440&quot;: case &quot;1441&quot;: 
+                    return {&quot;color&quot;: &quot;#277f8e&quot;, &quot;fillColor&quot;: &quot;#277f8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;488&quot;: case &quot;802&quot;: case &quot;832&quot;: case &quot;1058&quot;: case &quot;1062&quot;: case &quot;1099&quot;: case &quot;1307&quot;: case &quot;1463&quot;: 
+                    return {&quot;color&quot;: &quot;#23898e&quot;, &quot;fillColor&quot;: &quot;#23898e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;490&quot;: case &quot;1138&quot;: case &quot;1155&quot;: 
+                    return {&quot;color&quot;: &quot;#2d718e&quot;, &quot;fillColor&quot;: &quot;#2d718e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;492&quot;: case &quot;726&quot;: case &quot;870&quot;: case &quot;1126&quot;: case &quot;1369&quot;: 
+                    return {&quot;color&quot;: &quot;#1f9f88&quot;, &quot;fillColor&quot;: &quot;#1f9f88&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;493&quot;: case &quot;587&quot;: case &quot;662&quot;: 
+                    return {&quot;color&quot;: &quot;#25ab82&quot;, &quot;fillColor&quot;: &quot;#25ab82&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;495&quot;: case &quot;579&quot;: case &quot;581&quot;: case &quot;803&quot;: 
+                    return {&quot;color&quot;: &quot;#29af7f&quot;, &quot;fillColor&quot;: &quot;#29af7f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;498&quot;: case &quot;535&quot;: case &quot;578&quot;: case &quot;664&quot;: 
+                    return {&quot;color&quot;: &quot;#23a983&quot;, &quot;fillColor&quot;: &quot;#23a983&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;499&quot;: case &quot;928&quot;: case &quot;1027&quot;: case &quot;1033&quot;: case &quot;1064&quot;: case &quot;1620&quot;: 
+                    return {&quot;color&quot;: &quot;#25858e&quot;, &quot;fillColor&quot;: &quot;#25858e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;529&quot;: case &quot;930&quot;: case &quot;963&quot;: case &quot;1381&quot;: 
+                    return {&quot;color&quot;: &quot;#26818e&quot;, &quot;fillColor&quot;: &quot;#26818e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;530&quot;: case &quot;532&quot;: case &quot;800&quot;: case &quot;1308&quot;: case &quot;1346&quot;: case &quot;1411&quot;: 
+                    return {&quot;color&quot;: &quot;#25848e&quot;, &quot;fillColor&quot;: &quot;#25848e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;531&quot;: case &quot;895&quot;: case &quot;961&quot;: case &quot;998&quot;: case &quot;1191&quot;: case &quot;1330&quot;: 
+                    return {&quot;color&quot;: &quot;#287d8e&quot;, &quot;fillColor&quot;: &quot;#287d8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;534&quot;: case &quot;691&quot;: case &quot;938&quot;: case &quot;971&quot;: case &quot;1267&quot;: 
+                    return {&quot;color&quot;: &quot;#26ad81&quot;, &quot;fillColor&quot;: &quot;#26ad81&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;536&quot;: 
+                    return {&quot;color&quot;: &quot;#2db27d&quot;, &quot;fillColor&quot;: &quot;#2db27d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;539&quot;: case &quot;660&quot;: 
+                    return {&quot;color&quot;: &quot;#77d153&quot;, &quot;fillColor&quot;: &quot;#77d153&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;540&quot;: case &quot;776&quot;: case &quot;1303&quot;: 
+                    return {&quot;color&quot;: &quot;#b5de2b&quot;, &quot;fillColor&quot;: &quot;#b5de2b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;541&quot;: case &quot;580&quot;: case &quot;1301&quot;: 
+                    return {&quot;color&quot;: &quot;#2fb47c&quot;, &quot;fillColor&quot;: &quot;#2fb47c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;542&quot;: case &quot;833&quot;: case &quot;1060&quot;: case &quot;1132&quot;: case &quot;1165&quot;: case &quot;1343&quot;: 
+                    return {&quot;color&quot;: &quot;#238a8d&quot;, &quot;fillColor&quot;: &quot;#238a8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;560&quot;: case &quot;568&quot;: case &quot;715&quot;: case &quot;819&quot;: case &quot;845&quot;: case &quot;913&quot;: case &quot;947&quot;: case &quot;1040&quot;: case &quot;1141&quot;: case &quot;1145&quot;: case &quot;1178&quot;: case &quot;1185&quot;: case &quot;1251&quot;: case &quot;1252&quot;: 
+                    return {&quot;color&quot;: &quot;#3e4a89&quot;, &quot;fillColor&quot;: &quot;#3e4a89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;573&quot;: case &quot;1034&quot;: case &quot;1096&quot;: case &quot;1221&quot;: 
+                    return {&quot;color&quot;: &quot;#2e6d8e&quot;, &quot;fillColor&quot;: &quot;#2e6d8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;574&quot;: case &quot;766&quot;: case &quot;831&quot;: case &quot;898&quot;: case &quot;900&quot;: case &quot;1089&quot;: case &quot;1157&quot;: case &quot;1240&quot;: case &quot;1412&quot;: 
+                    return {&quot;color&quot;: &quot;#29798e&quot;, &quot;fillColor&quot;: &quot;#29798e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;577&quot;: 
+                    return {&quot;color&quot;: &quot;#22a785&quot;, &quot;fillColor&quot;: &quot;#22a785&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;584&quot;: case &quot;772&quot;: case &quot;1235&quot;: case &quot;1469&quot;: 
+                    return {&quot;color&quot;: &quot;#a0da39&quot;, &quot;fillColor&quot;: &quot;#a0da39&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;585&quot;: case &quot;705&quot;: 
+                    return {&quot;color&quot;: &quot;#b2dd2d&quot;, &quot;fillColor&quot;: &quot;#b2dd2d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;588&quot;: case &quot;687&quot;: case &quot;1028&quot;: case &quot;1032&quot;: case &quot;1057&quot;: 
+                    return {&quot;color&quot;: &quot;#24868e&quot;, &quot;fillColor&quot;: &quot;#24868e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;610&quot;: case &quot;864&quot;: case &quot;1024&quot;: case &quot;1189&quot;: case &quot;1197&quot;: 
+                    return {&quot;color&quot;: &quot;#2c728e&quot;, &quot;fillColor&quot;: &quot;#2c728e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;614&quot;: case &quot;863&quot;: case &quot;1097&quot;: case &quot;1239&quot;: case &quot;1312&quot;: case &quot;1574&quot;: 
+                    return {&quot;color&quot;: &quot;#2b748e&quot;, &quot;fillColor&quot;: &quot;#2b748e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;616&quot;: case &quot;798&quot;: case &quot;935&quot;: case &quot;1090&quot;: case &quot;1345&quot;: 
+                    return {&quot;color&quot;: &quot;#228d8d&quot;, &quot;fillColor&quot;: &quot;#228d8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;617&quot;: case &quot;868&quot;: case &quot;1092&quot;: case &quot;1125&quot;: case &quot;1128&quot;: 
+                    return {&quot;color&quot;: &quot;#20938c&quot;, &quot;fillColor&quot;: &quot;#20938c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;621&quot;: case &quot;805&quot;: case &quot;1337&quot;: 
+                    return {&quot;color&quot;: &quot;#8ed645&quot;, &quot;fillColor&quot;: &quot;#8ed645&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;622&quot;: case &quot;657&quot;: case &quot;769&quot;: case &quot;1496&quot;: 
+                    return {&quot;color&quot;: &quot;#3dbc74&quot;, &quot;fillColor&quot;: &quot;#3dbc74&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;623&quot;: case &quot;1003&quot;: case &quot;1035&quot;: case &quot;1464&quot;: 
+                    return {&quot;color&quot;: &quot;#25ac82&quot;, &quot;fillColor&quot;: &quot;#25ac82&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;627&quot;: case &quot;666&quot;: case &quot;1436&quot;: 
+                    return {&quot;color&quot;: &quot;#8bd646&quot;, &quot;fillColor&quot;: &quot;#8bd646&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;628&quot;: case &quot;1601&quot;: 
+                    return {&quot;color&quot;: &quot;#63cb5f&quot;, &quot;fillColor&quot;: &quot;#63cb5f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;629&quot;: case &quot;699&quot;: case &quot;737&quot;: case &quot;1467&quot;: 
+                    return {&quot;color&quot;: &quot;#5cc863&quot;, &quot;fillColor&quot;: &quot;#5cc863&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;648&quot;: case &quot;933&quot;: case &quot;993&quot;: case &quot;1230&quot;: case &quot;1311&quot;: case &quot;1413&quot;: case &quot;1550&quot;: case &quot;1598&quot;: 
+                    return {&quot;color&quot;: &quot;#297a8e&quot;, &quot;fillColor&quot;: &quot;#297a8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;649&quot;: case &quot;1059&quot;: case &quot;1094&quot;: case &quot;1129&quot;: case &quot;1310&quot;: case &quot;1377&quot;: case &quot;1379&quot;: 
+                    return {&quot;color&quot;: &quot;#228b8d&quot;, &quot;fillColor&quot;: &quot;#228b8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;650&quot;: case &quot;936&quot;: 
+                    return {&quot;color&quot;: &quot;#1f968b&quot;, &quot;fillColor&quot;: &quot;#1f968b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;658&quot;: case &quot;770&quot;: case &quot;972&quot;: 
+                    return {&quot;color&quot;: &quot;#60ca60&quot;, &quot;fillColor&quot;: &quot;#60ca60&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;659&quot;: case &quot;873&quot;: case &quot;907&quot;: 
+                    return {&quot;color&quot;: &quot;#98d83e&quot;, &quot;fillColor&quot;: &quot;#98d83e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;663&quot;: case &quot;1232&quot;: case &quot;1551&quot;: case &quot;1640&quot;: case &quot;1659&quot;: 
+                    return {&quot;color&quot;: &quot;#1f998a&quot;, &quot;fillColor&quot;: &quot;#1f998a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;665&quot;: case &quot;1268&quot;: case &quot;1435&quot;: case &quot;1554&quot;: 
+                    return {&quot;color&quot;: &quot;#42be71&quot;, &quot;fillColor&quot;: &quot;#42be71&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;667&quot;: case &quot;1101&quot;: 
+                    return {&quot;color&quot;: &quot;#7ad151&quot;, &quot;fillColor&quot;: &quot;#7ad151&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;688&quot;: case &quot;1167&quot;: 
+                    return {&quot;color&quot;: &quot;#20a386&quot;, &quot;fillColor&quot;: &quot;#20a386&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;690&quot;: case &quot;1160&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa287&quot;, &quot;fillColor&quot;: &quot;#1fa287&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;692&quot;: case &quot;1192&quot;: case &quot;1296&quot;: case &quot;1368&quot;: case &quot;1494&quot;: 
+                    return {&quot;color&quot;: &quot;#1f9e89&quot;, &quot;fillColor&quot;: &quot;#1f9e89&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;694&quot;: case &quot;763&quot;: case &quot;768&quot;: case &quot;1433&quot;: 
+                    return {&quot;color&quot;: &quot;#21a585&quot;, &quot;fillColor&quot;: &quot;#21a585&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;695&quot;: 
+                    return {&quot;color&quot;: &quot;#44bf70&quot;, &quot;fillColor&quot;: &quot;#44bf70&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;696&quot;: case &quot;906&quot;: 
+                    return {&quot;color&quot;: &quot;#4ec36b&quot;, &quot;fillColor&quot;: &quot;#4ec36b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;697&quot;: case &quot;1468&quot;: 
+                    return {&quot;color&quot;: &quot;#5ac864&quot;, &quot;fillColor&quot;: &quot;#5ac864&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;698&quot;: 
+                    return {&quot;color&quot;: &quot;#75d054&quot;, &quot;fillColor&quot;: &quot;#75d054&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;700&quot;: case &quot;1403&quot;: case &quot;1622&quot;: 
+                    return {&quot;color&quot;: &quot;#35b779&quot;, &quot;fillColor&quot;: &quot;#35b779&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;703&quot;: 
+                    return {&quot;color&quot;: &quot;#65cb5e&quot;, &quot;fillColor&quot;: &quot;#65cb5e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;704&quot;: case &quot;1438&quot;: 
+                    return {&quot;color&quot;: &quot;#b0dd2f&quot;, &quot;fillColor&quot;: &quot;#b0dd2f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;727&quot;: case &quot;1195&quot;: 
+                    return {&quot;color&quot;: &quot;#27ad81&quot;, &quot;fillColor&quot;: &quot;#27ad81&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;728&quot;: case &quot;1194&quot;: 
+                    return {&quot;color&quot;: &quot;#28ae80&quot;, &quot;fillColor&quot;: &quot;#28ae80&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;735&quot;: 
+                    return {&quot;color&quot;: &quot;#40bd72&quot;, &quot;fillColor&quot;: &quot;#40bd72&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;736&quot;: case &quot;738&quot;: case &quot;1498&quot;: case &quot;1526&quot;: 
+                    return {&quot;color&quot;: &quot;#54c568&quot;, &quot;fillColor&quot;: &quot;#54c568&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;740&quot;: 
+                    return {&quot;color&quot;: &quot;#73d056&quot;, &quot;fillColor&quot;: &quot;#73d056&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;741&quot;: case &quot;838&quot;: 
+                    return {&quot;color&quot;: &quot;#89d548&quot;, &quot;fillColor&quot;: &quot;#89d548&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;771&quot;: case &quot;1036&quot;: 
+                    return {&quot;color&quot;: &quot;#84d44b&quot;, &quot;fillColor&quot;: &quot;#84d44b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;773&quot;: case &quot;806&quot;: case &quot;1527&quot;: 
+                    return {&quot;color&quot;: &quot;#9dd93b&quot;, &quot;fillColor&quot;: &quot;#9dd93b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;774&quot;: case &quot;775&quot;: 
+                    return {&quot;color&quot;: &quot;#c0df25&quot;, &quot;fillColor&quot;: &quot;#c0df25&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;804&quot;: 
+                    return {&quot;color&quot;: &quot;#58c765&quot;, &quot;fillColor&quot;: &quot;#58c765&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;807&quot;: case &quot;839&quot;: case &quot;874&quot;: case &quot;1070&quot;: 
+                    return {&quot;color&quot;: &quot;#bddf26&quot;, &quot;fillColor&quot;: &quot;#bddf26&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;808&quot;: case &quot;809&quot;: case &quot;1170&quot;: case &quot;1306&quot;: case &quot;1340&quot;: 
+                    return {&quot;color&quot;: &quot;#f1e51d&quot;, &quot;fillColor&quot;: &quot;#f1e51d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;810&quot;: case &quot;1007&quot;: case &quot;1407&quot;: 
+                    return {&quot;color&quot;: &quot;#efe51c&quot;, &quot;fillColor&quot;: &quot;#efe51c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;828&quot;: case &quot;865&quot;: case &quot;1154&quot;: case &quot;1164&quot;: case &quot;1220&quot;: case &quot;1521&quot;: 
+                    return {&quot;color&quot;: &quot;#2d708e&quot;, &quot;fillColor&quot;: &quot;#2d708e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;837&quot;: case &quot;1134&quot;: case &quot;1262&quot;: case &quot;1641&quot;: 
+                    return {&quot;color&quot;: &quot;#4ac16d&quot;, &quot;fillColor&quot;: &quot;#4ac16d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;840&quot;: case &quot;1071&quot;: case &quot;1137&quot;: case &quot;1339&quot;: case &quot;1470&quot;: 
+                    return {&quot;color&quot;: &quot;#e7e419&quot;, &quot;fillColor&quot;: &quot;#e7e419&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;841&quot;: case &quot;843&quot;: case &quot;876&quot;: case &quot;910&quot;: case &quot;943&quot;: case &quot;1375&quot;: 
+                    return {&quot;color&quot;: &quot;#fbe723&quot;, &quot;fillColor&quot;: &quot;#fbe723&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;842&quot;: case &quot;844&quot;: case &quot;877&quot;: case &quot;878&quot;: 
+                    return {&quot;color&quot;: &quot;#fde725&quot;, &quot;fillColor&quot;: &quot;#fde725&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;875&quot;: case &quot;1104&quot;: case &quot;1203&quot;: 
+                    return {&quot;color&quot;: &quot;#ece51b&quot;, &quot;fillColor&quot;: &quot;#ece51b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;902&quot;: case &quot;1199&quot;: case &quot;1297&quot;: case &quot;1331&quot;: 
+                    return {&quot;color&quot;: &quot;#1f978b&quot;, &quot;fillColor&quot;: &quot;#1f978b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;908&quot;: case &quot;1269&quot;: 
+                    return {&quot;color&quot;: &quot;#9bd93c&quot;, &quot;fillColor&quot;: &quot;#9bd93c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;909&quot;: 
+                    return {&quot;color&quot;: &quot;#eae51a&quot;, &quot;fillColor&quot;: &quot;#eae51a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;911&quot;: case &quot;975&quot;: 
+                    return {&quot;color&quot;: &quot;#f8e621&quot;, &quot;fillColor&quot;: &quot;#f8e621&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;929&quot;: case &quot;995&quot;: case &quot;1029&quot;: case &quot;1031&quot;: case &quot;1275&quot;: case &quot;1408&quot;: case &quot;1409&quot;: 
+                    return {&quot;color&quot;: &quot;#25838e&quot;, &quot;fillColor&quot;: &quot;#25838e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;937&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa188&quot;, &quot;fillColor&quot;: &quot;#1fa188&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;940&quot;: 
+                    return {&quot;color&quot;: &quot;#a2da37&quot;, &quot;fillColor&quot;: &quot;#a2da37&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;941&quot;: 
+                    return {&quot;color&quot;: &quot;#d8e219&quot;, &quot;fillColor&quot;: &quot;#d8e219&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;942&quot;: case &quot;1341&quot;: 
+                    return {&quot;color&quot;: &quot;#f4e61e&quot;, &quot;fillColor&quot;: &quot;#f4e61e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;973&quot;: 
+                    return {&quot;color&quot;: &quot;#a5db36&quot;, &quot;fillColor&quot;: &quot;#a5db36&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;974&quot;: case &quot;1006&quot;: 
+                    return {&quot;color&quot;: &quot;#d2e21b&quot;, &quot;fillColor&quot;: &quot;#d2e21b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1004&quot;: case &quot;1302&quot;: 
+                    return {&quot;color&quot;: &quot;#6ece58&quot;, &quot;fillColor&quot;: &quot;#6ece58&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1005&quot;: case &quot;1136&quot;: 
+                    return {&quot;color&quot;: &quot;#c2df23&quot;, &quot;fillColor&quot;: &quot;#c2df23&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1023&quot;: 
+                    return {&quot;color&quot;: &quot;#306a8e&quot;, &quot;fillColor&quot;: &quot;#306a8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1037&quot;: case &quot;1406&quot;: 
+                    return {&quot;color&quot;: &quot;#c8e020&quot;, &quot;fillColor&quot;: &quot;#c8e020&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1038&quot;: case &quot;1338&quot;: case &quot;1500&quot;: 
+                    return {&quot;color&quot;: &quot;#d0e11c&quot;, &quot;fillColor&quot;: &quot;#d0e11c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1067&quot;: case &quot;1228&quot;: case &quot;1234&quot;: 
+                    return {&quot;color&quot;: &quot;#3fbc73&quot;, &quot;fillColor&quot;: &quot;#3fbc73&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1068&quot;: case &quot;1499&quot;: 
+                    return {&quot;color&quot;: &quot;#93d741&quot;, &quot;fillColor&quot;: &quot;#93d741&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1091&quot;: case &quot;1093&quot;: case &quot;1200&quot;: case &quot;1342&quot;: 
+                    return {&quot;color&quot;: &quot;#20928c&quot;, &quot;fillColor&quot;: &quot;#20928c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1102&quot;: case &quot;1202&quot;: case &quot;1372&quot;: case &quot;1528&quot;: 
+                    return {&quot;color&quot;: &quot;#addc30&quot;, &quot;fillColor&quot;: &quot;#addc30&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1103&quot;: 
+                    return {&quot;color&quot;: &quot;#d5e21a&quot;, &quot;fillColor&quot;: &quot;#d5e21a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1131&quot;: 
+                    return {&quot;color&quot;: &quot;#2b758e&quot;, &quot;fillColor&quot;: &quot;#2b758e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1135&quot;: case &quot;1437&quot;: 
+                    return {&quot;color&quot;: &quot;#90d743&quot;, &quot;fillColor&quot;: &quot;#90d743&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1169&quot;: 
+                    return {&quot;color&quot;: &quot;#cae11f&quot;, &quot;fillColor&quot;: &quot;#cae11f&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1201&quot;: 
+                    return {&quot;color&quot;: &quot;#56c667&quot;, &quot;fillColor&quot;: &quot;#56c667&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1236&quot;: case &quot;1439&quot;: 
+                    return {&quot;color&quot;: &quot;#e5e419&quot;, &quot;fillColor&quot;: &quot;#e5e419&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1237&quot;: case &quot;1374&quot;: 
+                    return {&quot;color&quot;: &quot;#f6e620&quot;, &quot;fillColor&quot;: &quot;#f6e620&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1271&quot;: 
+                    return {&quot;color&quot;: &quot;#dde318&quot;, &quot;fillColor&quot;: &quot;#dde318&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1299&quot;: case &quot;1344&quot;: 
+                    return {&quot;color&quot;: &quot;#21918c&quot;, &quot;fillColor&quot;: &quot;#21918c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1304&quot;: 
+                    return {&quot;color&quot;: &quot;#c5e021&quot;, &quot;fillColor&quot;: &quot;#c5e021&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1305&quot;: 
+                    return {&quot;color&quot;: &quot;#dfe318&quot;, &quot;fillColor&quot;: &quot;#dfe318&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1309&quot;: 
+                    return {&quot;color&quot;: &quot;#21908d&quot;, &quot;fillColor&quot;: &quot;#21908d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1316&quot;: case &quot;1351&quot;: case &quot;1474&quot;: case &quot;1475&quot;: case &quot;1476&quot;: case &quot;1503&quot;: case &quot;1504&quot;: case &quot;1506&quot;: case &quot;1532&quot;: case &quot;1558&quot;: case &quot;1580&quot;: case &quot;1670&quot;: 
+                    return {&quot;color&quot;: &quot;#460a5d&quot;, &quot;fillColor&quot;: &quot;#460a5d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1336&quot;: 
+                    return {&quot;color&quot;: &quot;#37b878&quot;, &quot;fillColor&quot;: &quot;#37b878&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1349&quot;: case &quot;1581&quot;: case &quot;1706&quot;: 
+                    return {&quot;color&quot;: &quot;#46075a&quot;, &quot;fillColor&quot;: &quot;#46075a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1350&quot;: case &quot;1708&quot;: 
+                    return {&quot;color&quot;: &quot;#450559&quot;, &quot;fillColor&quot;: &quot;#450559&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1352&quot;: case &quot;1480&quot;: case &quot;1560&quot;: case &quot;1609&quot;: case &quot;1629&quot;: case &quot;1654&quot;: case &quot;1660&quot;: case &quot;1684&quot;: case &quot;1685&quot;: case &quot;1688&quot;: 
+                    return {&quot;color&quot;: &quot;#471063&quot;, &quot;fillColor&quot;: &quot;#471063&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1371&quot;: case &quot;1497&quot;: case &quot;1576&quot;: 
+                    return {&quot;color&quot;: &quot;#38b977&quot;, &quot;fillColor&quot;: &quot;#38b977&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1373&quot;: 
+                    return {&quot;color&quot;: &quot;#dae319&quot;, &quot;fillColor&quot;: &quot;#dae319&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1383&quot;: case &quot;1505&quot;: case &quot;1677&quot;: case &quot;1696&quot;: case &quot;1714&quot;: 
+                    return {&quot;color&quot;: &quot;#46085c&quot;, &quot;fillColor&quot;: &quot;#46085c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1384&quot;: case &quot;1385&quot;: case &quot;1415&quot;: case &quot;1417&quot;: case &quot;1448&quot;: case &quot;1478&quot;: case &quot;1479&quot;: case &quot;1507&quot;: case &quot;1535&quot;: case &quot;1536&quot;: case &quot;1555&quot;: case &quot;1579&quot;: case &quot;1582&quot;: case &quot;1630&quot;: case &quot;1632&quot;: case &quot;1667&quot;: case &quot;1668&quot;: case &quot;1671&quot;: case &quot;1693&quot;: case &quot;1715&quot;: 
+                    return {&quot;color&quot;: &quot;#470d60&quot;, &quot;fillColor&quot;: &quot;#470d60&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1405&quot;: 
+                    return {&quot;color&quot;: &quot;#b8de29&quot;, &quot;fillColor&quot;: &quot;#b8de29&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1416&quot;: case &quot;1446&quot;: case &quot;1447&quot;: case &quot;1473&quot;: case &quot;1477&quot;: case &quot;1502&quot;: case &quot;1530&quot;: case &quot;1531&quot;: case &quot;1533&quot;: case &quot;1534&quot;: case &quot;1556&quot;: case &quot;1633&quot;: case &quot;1651&quot;: case &quot;1652&quot;: case &quot;1669&quot;: 
+                    return {&quot;color&quot;: &quot;#460b5e&quot;, &quot;fillColor&quot;: &quot;#460b5e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1434&quot;: case &quot;1552&quot;: case &quot;1600&quot;: 
+                    return {&quot;color&quot;: &quot;#32b67a&quot;, &quot;fillColor&quot;: &quot;#32b67a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1466&quot;: 
+                    return {&quot;color&quot;: &quot;#52c569&quot;, &quot;fillColor&quot;: &quot;#52c569&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1508&quot;: case &quot;1559&quot;: case &quot;1610&quot;: case &quot;1631&quot;: case &quot;1634&quot;: case &quot;1648&quot;: case &quot;1649&quot;: case &quot;1650&quot;: case &quot;1653&quot;: case &quot;1666&quot;: case &quot;1672&quot;: case &quot;1680&quot;: case &quot;1683&quot;: case &quot;1686&quot;: case &quot;1687&quot;: 
+                    return {&quot;color&quot;: &quot;#470e61&quot;, &quot;fillColor&quot;: &quot;#470e61&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1523&quot;: 
+                    return {&quot;color&quot;: &quot;#1fa088&quot;, &quot;fillColor&quot;: &quot;#1fa088&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1524&quot;: 
+                    return {&quot;color&quot;: &quot;#24aa83&quot;, &quot;fillColor&quot;: &quot;#24aa83&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1557&quot;: case &quot;1707&quot;: 
+                    return {&quot;color&quot;: &quot;#450457&quot;, &quot;fillColor&quot;: &quot;#450457&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1681&quot;: case &quot;1682&quot;: 
+                    return {&quot;color&quot;: &quot;#440256&quot;, &quot;fillColor&quot;: &quot;#440256&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                case &quot;1694&quot;: case &quot;1695&quot;: 
+                    return {&quot;color&quot;: &quot;#440154&quot;, &quot;fillColor&quot;: &quot;#440154&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+                default:
+                    return {&quot;color&quot;: &quot;#472f7d&quot;, &quot;fillColor&quot;: &quot;#472f7d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};
+            }
+        }
+        function geo_json_4168af176760ca2c87672909c4f6a1c3_highlighter(feature) {
+            switch(feature.id) {
+                default:
+                    return {&quot;fillOpacity&quot;: 0.75};
+            }
+        }
+        function geo_json_4168af176760ca2c87672909c4f6a1c3_pointToLayer(feature, latlng) {
+            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};
+            
+            let style = geo_json_4168af176760ca2c87672909c4f6a1c3_styler(feature)
+            Object.assign(opts, style)
+            
+            return new L.CircleMarker(latlng, opts)
+        }
+
+        function geo_json_4168af176760ca2c87672909c4f6a1c3_onEachFeature(feature, layer) {
+            layer.on({
+                mouseout: function(e) {
+                    if(typeof e.target.setStyle === &quot;function&quot;){
+                            geo_json_4168af176760ca2c87672909c4f6a1c3.resetStyle(e.target);
+                    }
+                },
+                mouseover: function(e) {
+                    if(typeof e.target.setStyle === &quot;function&quot;){
+                        const highlightStyle = geo_json_4168af176760ca2c87672909c4f6a1c3_highlighter(e.target.feature)
+                        e.target.setStyle(highlightStyle);
+                    }
+                },
+            });
+        };
+        var geo_json_4168af176760ca2c87672909c4f6a1c3 = L.geoJson(null, {
+                onEachFeature: geo_json_4168af176760ca2c87672909c4f6a1c3_onEachFeature,
+            
+                style: geo_json_4168af176760ca2c87672909c4f6a1c3_styler,
+                pointToLayer: geo_json_4168af176760ca2c87672909c4f6a1c3_pointToLayer,
+        });
+
+        function geo_json_4168af176760ca2c87672909c4f6a1c3_add (data) {
+            geo_json_4168af176760ca2c87672909c4f6a1c3
+                .addData(data);
+        }
+            geo_json_4168af176760ca2c87672909c4f6a1c3_add({&quot;bbox&quot;: [-54.16680605885, -31.33347245684999, -44.666806096849996, -21.666805828849988], &quot;features&quot;: [{&quot;bbox&quot;: [-51.33347273685, -21.83347249484999, -51.16680607085, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-51.33347273685, -21.666805828849988], [-51.33347273685, -21.83347249484999], [-51.16680607085, -21.83347249484999], [-51.16680607085, -21.666805828849988], [-51.33347273685, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481668&quot;, &quot;deme_index&quot;: 0, &quot;deme_size&quot;: 68.0, &quot;dummy&quot;: 17.0, &quot;mig_east&quot;: 0.0010735293626785278, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0011617647409439087, &quot;mig_west&quot;: 0.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-51.16680607085, -21.83347249484999, -51.00013940485, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-51.16680607085, -21.666805828849988], [-51.16680607085, -21.83347249484999], [-51.00013940485, -21.83347249484999], [-51.00013940485, -21.666805828849988], [-51.16680607085, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481769&quot;, &quot;deme_index&quot;: 1, &quot;deme_size&quot;: 73.0, &quot;dummy&quot;: 18.0, &quot;mig_east&quot;: 0.001082191824913025, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0010136985778808594, &quot;mig_west&quot;: 0.0009315068721771241}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-51.00013940485, -21.83347249484999, -50.83347273885, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-51.00013940485, -21.666805828849988], [-51.00013940485, -21.83347249484999], [-50.83347273885, -21.83347249484999], [-50.83347273885, -21.666805828849988], [-51.00013940485, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#48186a&quot;, &quot;deme_index&quot;: 2, &quot;deme_size&quot;: 79.0, &quot;dummy&quot;: 19.0, &quot;mig_east&quot;: 0.0009873417615890504, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0009113923907279969, &quot;mig_west&quot;: 0.0009240506291389466}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-50.83347273885, -21.83347249484999, -50.66680607285, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-50.83347273885, -21.666805828849988], [-50.83347273885, -21.83347249484999], [-50.66680607285, -21.83347249484999], [-50.66680607285, -21.666805828849988], [-50.83347273885, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#48186a&quot;, &quot;deme_index&quot;: 3, &quot;deme_size&quot;: 78.0, &quot;dummy&quot;: 20.0, &quot;mig_east&quot;: 0.0008333333134651185, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.001, &quot;mig_west&quot;: 0.0010128204822540284}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-50.66680607285, -21.83347249484999, -50.500139406849996, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-50.66680607285, -21.666805828849988], [-50.66680607285, -21.83347249484999], [-50.500139406849996, -21.83347249484999], [-50.500139406849996, -21.666805828849988], [-50.66680607285, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481467&quot;, &quot;deme_index&quot;: 4, &quot;deme_size&quot;: 65.0, &quot;dummy&quot;: 21.0, &quot;mig_east&quot;: 0.0009692307710647583, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0012307692766189576, &quot;mig_west&quot;: 0.0012000000476837158}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-50.500139406849996, -21.83347249484999, -50.33347274085, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-50.500139406849996, -21.666805828849988], [-50.500139406849996, -21.83347249484999], [-50.33347274085, -21.83347249484999], [-50.33347274085, -21.666805828849988], [-50.500139406849996, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;5&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#471365&quot;, &quot;deme_index&quot;: 5, &quot;deme_size&quot;: 63.0, &quot;dummy&quot;: 22.0, &quot;mig_east&quot;: 0.0009523809552192688, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.00120634925365448, &quot;mig_west&quot;: 0.0010317460298538209}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-50.33347274085, -21.83347249484999, -50.16680607485, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-50.33347274085, -21.666805828849988], [-50.33347274085, -21.83347249484999], [-50.16680607485, -21.83347249484999], [-50.16680607485, -21.666805828849988], [-50.33347274085, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;6&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#471164&quot;, &quot;deme_index&quot;: 6, &quot;deme_size&quot;: 60.0, &quot;dummy&quot;: 23.0, &quot;mig_east&quot;: 0.0010666667222976685, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0012166666984558105, &quot;mig_west&quot;: 0.0010499999523162842}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-50.16680607485, -21.83347249484999, -50.000139408849996, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-50.16680607485, -21.666805828849988], [-50.16680607485, -21.83347249484999], [-50.000139408849996, -21.83347249484999], [-50.000139408849996, -21.666805828849988], [-50.16680607485, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;7&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#471365&quot;, &quot;deme_index&quot;: 7, &quot;deme_size&quot;: 64.0, &quot;dummy&quot;: 24.0, &quot;mig_east&quot;: 0.001140625, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.001140625, &quot;mig_west&quot;: 0.0009375}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-50.000139408849996, -21.83347249484999, -49.83347274285, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-50.000139408849996, -21.666805828849988], [-50.000139408849996, -21.83347249484999], [-49.83347274285, -21.83347249484999], [-49.83347274285, -21.666805828849988], [-50.000139408849996, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;8&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481769&quot;, &quot;deme_index&quot;: 8, &quot;deme_size&quot;: 73.0, &quot;dummy&quot;: 25.0, &quot;mig_east&quot;: 0.001178082227706909, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.001082191824913025, &quot;mig_west&quot;: 0.0008767123222351074}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-49.83347274285, -21.83347249484999, -49.66680607685, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-49.83347274285, -21.666805828849988], [-49.83347274285, -21.83347249484999], [-49.66680607685, -21.83347249484999], [-49.66680607685, -21.666805828849988], [-49.83347274285, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;9&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481b6d&quot;, &quot;deme_index&quot;: 9, &quot;deme_size&quot;: 86.0, &quot;dummy&quot;: 26.0, &quot;mig_east&quot;: 0.001116279125213623, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.001116279125213623, &quot;mig_west&quot;: 0.0008488371968269348}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-49.66680607685, -21.83347249484999, -49.50013941085, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-49.66680607685, -21.666805828849988], [-49.66680607685, -21.83347249484999], [-49.50013941085, -21.83347249484999], [-49.50013941085, -21.666805828849988], [-49.66680607685, -21.666805828849988]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;10&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481f70&quot;, &quot;deme_index&quot;: 10, &quot;deme_size&quot;: 96.0, &quot;dummy&quot;: 27.0, &quot;mig_east&quot;: 0.001166666626930237, &quot;mig_north&quot;: 0.0, &quot;mig_south&quot;: 0.0010625, &quot;mig_west&quot;: 0.0008958333134651184}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-49.50013941085, -21.83347249484999, -49.33347274485, -21.666805828849988], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-49.50013941085, -21.666805828849988], [-49.50013941085, -21.83347249484999], [-49.33347274485, 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+
+        
+    
+    geo_json_4168af176760ca2c87672909c4f6a1c3.bindTooltip(
+    function(layer){
+    let div = L.DomUtil.create('div');
+    
+    let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;
+    let fields = [&quot;deme_size&quot;, &quot;mig_north&quot;, &quot;mig_east&quot;, &quot;mig_south&quot;, &quot;mig_west&quot;, &quot;deme_index&quot;];
+    let aliases = [&quot;deme_size&quot;, &quot;mig_north&quot;, &quot;mig_east&quot;, &quot;mig_south&quot;, &quot;mig_west&quot;, &quot;deme_index&quot;];
+    let table = '<table>' +
+        String(
+        fields.map(
+        (v,i)=>
+        `<tr>
+            <th>${aliases[i]}</th>
+            
+            <td>${handleObject(layer.feature.properties[v])}</td>
+        </tr>`).join(''))
+    +'</table>';
+    div.innerHTML=table;
+    
+    return div
+    }
+    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});
+                     
+    
+            geo_json_4168af176760ca2c87672909c4f6a1c3.addTo(map_b3163c5987fa6eab6cf3b6d28c1e9db7);
+        
+    
+    var color_map_e596d657f05532b938986421303eb977 = {};
+
+    
+    color_map_e596d657f05532b938986421303eb977.color = d3.scale.threshold()
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+
+    color_map_e596d657f05532b938986421303eb977.g.call(color_map_e596d657f05532b938986421303eb977.xAxis).append(&quot;text&quot;)
+        .attr(&quot;class&quot;, &quot;caption&quot;)
+        .attr(&quot;y&quot;, 21)
+        .text(&quot;deme_size&quot;);
+</script>
+</html>" style="position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;" allowfullscreen="" webkitallowfullscreen="" mozallowfullscreen=""></iframe></div></div>
+</div>
+</div>
+</section>
+</section>
+</section>
+<section id="simulate-genetic-data" class="level2">
+<h2 class="anchored" data-anchor-id="simulate-genetic-data">Simulate genetic data</h2>
+<p>Before simulating this demography, we need to create a sample dictionary that translates the empirical sampling localities to the model’s deme indices and maps those to the number of samples to take from each deme. By default, <code>coords_to_sample_dict()</code> sets the number of individuals to sample from each deme to the number of empirical localities in that deme. The function also returns two other dictionaries that are not used in this example, so we’ll ignore them. In Python, it’s common practice for a function to return multiple objects as a list. If you want the objects separated, you use the formatting below. Using an underscore <code>_</code> leads to the object being ignored.</p>
+<div class="callout callout-style-default callout-note callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Dictionaries
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>Dictionaries are a data structure in Python that map keys to values. They are similar to lists, but instead of using an index to access elements, you use a key. Dictionaries are useful for storing data that has a key-value relationship, like a phone book, where the key is the name of the person and the value is their phone number. In this case, the key is the deme index and the value is the number of samples to take from that deme.</p>
+</div>
+</div>
+<div id="sample-dict" class="cell" data-execution_count="17">
+<div class="sourceCode cell-code" id="cb19"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a>sample_dict, _, _ <span class="op">=</span> sp.coords_to_sample_dict(r, locs)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p>Now we get to simulate! The first task is to simulate the ancestry of the samples using the coalescent. All of the hard work is done through <code>msprime</code>’s <code>sim_ancestry()</code> function, for which <code>spaceprime</code> provides a convenience wrapper. This function returns a <a href="https://tskit.dev/tskit/docs/stable/python-api.html#trees-and-tree-sequences">tskit TreeSequence</a>, which “represents a sequence of correlated evolutionary trees along a genome” and is an incredibly powerful and compact data representation for population genomic analyses. The minimum number of arguments required for this function are the sample dictionary and the demographic model. If you need to overlay mutations, you need to supply the sequence length. Notice the lack of mutations in the table. We’ll set <code>record_provenance</code> to False to decrease the memory overhead of storing a bunch of metadata about the simulation.</p>
+<p>This step may take a minute or so to run.</p>
+<div id="simulate" class="cell" data-execution_count="18">
+<div class="sourceCode cell-code" id="cb20"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a>sim <span class="op">=</span> sp.sim_ancestry(samples<span class="op">=</span>sample_dict, demography<span class="op">=</span>demo, sequence_length<span class="op">=</span><span class="fl">1e5</span>, record_provenance<span class="op">=</span><span class="va">False</span>, random_seed<span class="op">=</span><span class="dv">42</span>)</span>
+<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(sim)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-stdout">
+<pre><code>╔═══════════════════════════╗
+║TreeSequence               ║
+╠═══════════════╤═══════════╣
+║Trees          │          1║
+╟───────────────┼───────────╢
+║Sequence Length│     100000║
+╟───────────────┼───────────╢
+║Time Units     │generations║
+╟───────────────┼───────────╢
+║Sample Nodes   │        344║
+╟───────────────┼───────────╢
+║Total Size     │  205.8 KiB║
+╚═══════════════╧═══════════╝
+╔═══════════╤════╤═════════╤════════════╗
+║Table      │Rows│Size     │Has Metadata║
+╠═══════════╪════╪═════════╪════════════╣
+║Edges      │ 686│ 21.4 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Individuals│ 172│  4.7 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Migrations │   0│  8 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Mutations  │   0│ 16 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Nodes      │ 687│ 18.8 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Populations│3481│155.4 KiB│         Yes║
+╟───────────┼────┼─────────┼────────────╢
+║Provenances│   0│ 16 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Sites      │   0│ 16 Bytes│          No║
+╚═══════════╧════╧═════════╧════════════╝
+</code></pre>
+</div>
+</div>
+<p>We’ll take a peak at a single tree from the TreeSequence object to see what it looks like. The <code>draw_svg()</code> method plots trees from the TreeSequence object. Here, I selected a single tree and removed the node labels because there are tons of nodes that crowd the plot and we’re only interested in the tree structure.</p>
+<div id="cell-draw-tree" class="cell" data-execution_count="19">
+<div class="sourceCode cell-code" id="cb22"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a>first_tree <span class="op">=</span> sim.first()</span>
+<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a>node_labels <span class="op">=</span> {node.<span class="bu">id</span>: <span class="st">""</span> <span class="cf">for</span> node <span class="kw">in</span> sim.nodes()}</span>
+<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a>first_tree.draw_svg(y_axis<span class="op">=</span><span class="va">True</span>, size<span class="op">=</span>(<span class="dv">600</span>, <span class="dv">400</span>), node_labels<span class="op">=</span>node_labels)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-display" data-execution_count="14">
+<div>
+<figure class="figure">
+<p><img src="spaceprime-for-r-users_files/figure-html/draw-tree-output-1.svg" id="draw-tree" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<p>Overlaying mutations after simulating ancestry isn’t necessary for calculating genetic summary statistics on a TreeSequence, but it is necessary if you would like to compare your simulations with empirical data that are represented as a table of genotypes rather than a TreeSequence. The <code>sim_mutations()</code> function overlays mutations on the TreeSequence object returned by <code>sim_ancestry()</code> and requires the mutation rate. The mutation rate is the number of mutations per base pair per generation. For this example, we’ll use a mutation rate of 1e-10 so we don’t overcrowd the tree sequence visualization. You can see from the table that the tree sequence has some mutations!</p>
+<div id="mutations" class="cell" data-execution_count="20">
+<div class="sourceCode cell-code" id="cb23"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a>sim <span class="op">=</span> sp.sim_mutations(sim, rate<span class="op">=</span><span class="fl">1e-10</span>, random_seed<span class="op">=</span><span class="dv">490</span>)</span>
+<span id="cb23-2"><a href="#cb23-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb23-3"><a href="#cb23-3" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(sim)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-stdout">
+<pre><code>╔═══════════════════════════╗
+║TreeSequence               ║
+╠═══════════════╤═══════════╣
+║Trees          │          1║
+╟───────────────┼───────────╢
+║Sequence Length│     100000║
+╟───────────────┼───────────╢
+║Time Units     │generations║
+╟───────────────┼───────────╢
+║Sample Nodes   │        344║
+╟───────────────┼───────────╢
+║Total Size     │  209.4 KiB║
+╚═══════════════╧═══════════╝
+╔═══════════╤════╤═════════╤════════════╗
+║Table      │Rows│Size     │Has Metadata║
+╠═══════════╪════╪═════════╪════════════╣
+║Edges      │ 686│ 21.4 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Individuals│ 172│  4.7 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Migrations │   0│  8 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Mutations  │  48│  1.8 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Nodes      │ 687│ 18.8 KiB│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Populations│3481│155.4 KiB│         Yes║
+╟───────────┼────┼─────────┼────────────╢
+║Provenances│   1│717 Bytes│          No║
+╟───────────┼────┼─────────┼────────────╢
+║Sites      │  48│  1.2 KiB│          No║
+╚═══════════╧════╧═════════╧════════════╝
+</code></pre>
+</div>
+</div>
+<p>You might have noticed that we return new objects for <code>sim_ancestry</code> and <code>sim_mutations</code>. This is because we have returned to a functional programming paradigm, where functions return new objects rather than modifying objects in place. We do this because the TreeSequence objects are a different type of object than the demographic model object, and we want to keep them separate.</p>
+<p>And now for the tree. The red X’s represent mutations on the tree, with their ID numbers next to them.</p>
+<div id="cell-draw-mutations" class="cell" data-execution_count="21">
+<div class="sourceCode cell-code" id="cb25"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a>first_tree_mut <span class="op">=</span> sim.first()</span>
+<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb25-3"><a href="#cb25-3" aria-hidden="true" tabindex="-1"></a>node_labels <span class="op">=</span> {node.<span class="bu">id</span>: <span class="st">""</span> <span class="cf">for</span> node <span class="kw">in</span> sim.nodes()}</span>
+<span id="cb25-4"><a href="#cb25-4" aria-hidden="true" tabindex="-1"></a>first_tree_mut.draw_svg(y_axis<span class="op">=</span><span class="va">True</span>, size<span class="op">=</span>(<span class="dv">600</span>, <span class="dv">400</span>), node_labels<span class="op">=</span>node_labels)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output cell-output-display" data-execution_count="16">
+<div>
+<figure class="figure">
+<p><img src="spaceprime-for-r-users_files/figure-html/draw-mutations-output-1.svg" id="draw-mutations" class="img-fluid figure-img"></p>
+</figure>
+</div>
+</div>
+</div>
+<p>From here, you have a few options. You can:</p>
+<ul>
+<li>Use the <code>analysis</code> module to calculate genetic summary statistics on the TreeSequence object. For more on the <code>analysis</code> module, see the <a href="">analysis module documentation</a>.<br>
+</li>
+<li>Save the TreeSequence to use later or analyze on a platform like <a href="https://tskit.dev/tskit/docs/stable/introduction.html">tskit</a> with <code>sim.dump(file/path/to/write/to.trees)</code>.<br>
+</li>
+<li>Convert the TreeSequence with mutations to a genotype matrix for use in a program like <a href="https://scikit-allel.readthedocs.io/en/stable/">scikit-allel</a> with <code>sim.genotype_matrix()</code>. For more information on this function, see the <a href="https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.genotype_matrix">tskit documentation</a>.<br>
+</li>
+<li>Export the TreeSequence with mutations to a VCF file using <code>sim.write_vcf</code>. For more information on how to use this function, see the <a href="https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.write_vcf">tskit documentation</a>.</li>
+</ul>
+<div class="callout callout-style-default callout-warning callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+TODO
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>add a link to the analysis module documentation when it’s ready.</p>
+</div>
+</div>
+
+
+</section>
+
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new file mode 100644
index 0000000..6bd1373
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+++ b/spaceprime-for-r-users_files/figure-html/draw-mutations-output-1.svg
@@ -0,0 +1 @@
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diff --git a/spaceprime-for-r-users_files/figure-html/draw-tree-output-1.svg b/spaceprime-for-r-users_files/figure-html/draw-tree-output-1.svg
new file mode 100644
index 0000000..06801a1
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+<section id="suitability-to-deme-size-transformation-functions" class="level1">
+<h1>Suitability to deme size transformation functions</h1>
+<section id="brief-overview" class="level2">
+<h2 class="anchored" data-anchor-id="brief-overview">Brief overview</h2>
+<p>All transformations are performed on a raster with 0-1 suitability values (or a raster that will be normalized to 0-1). The output of the transformation is an array of the same shape as the input raster, but with values transformed according to the specified function.</p>
+<p>The “linear” transformation multiplies the input values by the maximum local deme size (<code>max_local_size</code>).</p>
+<p>The “threshold” transformation creates an array where values below the <code>threshold</code> value are set to zero and values about the <code>threshold</code> value are set to 1.</p>
+<p>The “sigmoid” transformation applies a sigmoid function to the data using Eq. 1 from <a href="https://www.researchgate.net/publication/257319938_Modeling_landscape_structure_response_across_a_gradient_of_land_cover_intensity">Frazier and Wang 2013, Modeling landscape structure response across a gradient of land cover intensity</a>, where an <code>inflection_point</code> and <code>slope</code> are specified. The <code>inflection_point</code> can be thought of like a <code>threshold</code> value, where original values below this value descend quicker to zero, and values about this value increase quicker to 1. The slope determines how fast values change on either side of the inflection point. A sufficiently steep slope makes this a threshold function, while a sufficiently shallow slope makes this a linear function.</p>
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