Update README badges (#128)

* update badges and news

NEWS.md

@@ -4,9 +4,12 @@
 - GFW resources are now updated to use the latest version allowing analysis for 
   the additional year of 2021 (#123, @fBedecarrats)
 
+- GFW indicators now accecpt numeric `min_size` argument allowing to specify
+  fractional covers (#110)
+
 - fire indicators now allow the simultaneous calculation of indicators based on 
   MODIS and VIIRS. Before users had to chose between one of the instruments for
-  each analysis
+  each analysis (#126)
 
 ## Bug fixes
 - case when one or multiple assets return NA instead of a tibble is now properly
@@ -24,7 +27,7 @@ tested and handled (#101)
 
 ## Internal
 - `.make_global_grid()` now specifies the CRS when constructing the bounding box
- and returns the grid in the specified CRS instead of Lat/Lon
+ and returns the grid in the specified CRS instead of Lat/Lon (#113)
 
 - `.calc_active_fire_properties` now uses st_coordinates to retrieve locations
  of fires (#119, @DavisVaughan)

README.Rmd

@@ -1,20 +1,41 @@
 ---
 output: github_document
 ---
+
 <!-- badges: start -->
+
 [![R-CMD-check](https://github.com/mapme-initiative/mapme.biodiversity/workflows/R-CMD-check/badge.svg)](https://github.com/mapme-initiative/mapme.biodiversity/actions)
 [![Coverage Status](https://img.shields.io/codecov/c/github/mapme-initiative/mapme.biodiversity/master.svg)](https://codecov.io/github/mapme-initiative/mapme.biodiversity?branch=master)
-[![CRAN status](https://www.r-pkg.org/badges/version/mapme.biodiversity)](https://CRAN.R-project.org/package=mapme.biodiversity)
+[![CRAN status](https://badges.cranchecks.info/summary/mapme.biodiversity.svg)](https://cran.r-project.org/web/checks/check_results_mapme.biodiversity.html)
+[![CRAN version](https://www.r-pkg.org/badges/version/mapme.biodiversity)](https://CRAN.R-project.org/package=mapme.biodiversity)
+[![License](https://img.shields.io/badge/License-GPL (>=3)-brightgreen.svg?style=flat)](https://choosealicense.com/licenses/gpl-3.0/)
+
 <!-- badges: end -->
 
 # mapme.biodiversity <img src="man/figures/logo.png" align="right" height="110"/>
 
 ## About
 
-Biodiversity areas, especially primary forests, provide multiple ecosystem services for the local population and the planet as a whole. The rapid expansion of human land use into natural ecosystems and the impacts of the global climate crisis put natural ecosystems and the global biodiversity under threat. 
-
-The mapme.biodiversity package helps to analyse a number of biodiversity related indicators and biodiversity threats based on freely available geodata-sources such as the Global Forest Watch. It supports computational efficient routines and heavy parallelization in cloud-infrastructures such as AWS or AZURE using in the statistical programming language R. The package allows for the analysis of global biodiversity portfolios with a thousand or millions of AOIs which is normally only possible on dedicated platforms such as the Google Earth Engine. It provides the possibility to e.g. analyse the World Database of Protected Areas (WDPA) for a number of relevant indicators. The primary use case of this package is to support scientific analysis and data science for individuals and organizations who seek to preserve the planet biodiversity. It's development is funded by the German Development Bank KfW.  
-
+Biodiversity areas, especially primary forests, provide multiple
+ecosystem services for the local population and the planet as a whole.
+The rapid expansion of human land use into natural ecosystems and the
+impacts of the global climate crisis put natural ecosystems and the
+global biodiversity under threat.
+
+The mapme.biodiversity package helps to analyse a number of biodiversity
+related indicators and biodiversity threats based on freely available
+geodata-sources such as the Global Forest Watch. It supports
+computational efficient routines and heavy parallelization in
+cloud-infrastructures such as AWS or AZURE using in the statistical
+programming language R. The package allows for the analysis of global
+biodiversity portfolios with a thousand or millions of AOIs which is
+normally only possible on dedicated platforms such as the Google Earth
+Engine. It provides the possibility to e.g. analyse the World Database
+of Protected Areas (WDPA) for a number of relevant indicators. The
+primary use case of this package is to support scientific analysis and
+data science for individuals and organizations who seek to preserve the
+planet biodiversity. It's development is funded by the German
+Development Bank KfW.
 
 ## Installation
 
@@ -32,10 +53,11 @@ remotes::install_github("https://github.com/mapme-initiative/mapme.biodiversity"
 
 ## Usage example
 
-`{mapme.biodiversity}` works by constructing a portfolio from an sf object.
-Specific raster and vector resource matching the spatio-temporal extent of the
-portfolio are made available locally. Once all required resources are available, 
-indicators can be calculated individually for each asset in the portfolio.
+`{mapme.biodiversity}` works by constructing a portfolio from an sf
+object. Specific raster and vector resource matching the spatio-temporal
+extent of the portfolio are made available locally. Once all required
+resources are available, indicators can be calculated individually for
+each asset in the portfolio.
 
 To list all available resources and indicators run:
 
@@ -50,14 +72,15 @@ cat(sprintf("Supported resources:\n- %s\n\nSupported indicators:\n- %s",
             paste(indicators, collapse = "\n- ")))
 ```
 
-Once you have decided on an indicator you are interested in, you can initialize 
-a biodiversity portfolio by using an sf-object that only contains geometries of 
-type `POLYGON` via the `init_portfolio()` function call. This will set some 
-important information that is needed further down the processing 
-chain. We can then request the download of a resource that is required to 
-calculate specific indicators. Once the indicator has been calculated for
-individually for all assets in a portfolio, the data is returned as a nested 
-list column to the original object. 
+Once you have decided on an indicator you are interested in, you can
+initialize a biodiversity portfolio by using an sf-object that only
+contains geometries of type `POLYGON` via the `init_portfolio()`
+function call. This will set some important information that is needed
+further down the processing chain. We can then request the download of a
+resource that is required to calculate specific indicators. Once the
+indicator has been calculated for individually for all assets in a
+portfolio, the data is returned as a nested list column to the original
+object.
 
 ```{r calculation}
 (system.file("extdata", "sierra_de_neiba_478140_2.gpkg", package = "mapme.biodiversity") %>%
@@ -78,5 +101,6 @@ list column to the original object.
     tidyr::unnest(treecover_area_and_emissions))
 ```
 
-Head over to the [online documentation](https://mapme-initiative.github.io/mapme.biodiversity/index.html) 
+Head over to the [online
+documentation](https://mapme-initiative.github.io/mapme.biodiversity/index.html)
 find more detailed information about the package.

README.md

@@ -5,7 +5,11 @@
 [![Coverage
 Status](https://img.shields.io/codecov/c/github/mapme-initiative/mapme.biodiversity/master.svg)](https://codecov.io/github/mapme-initiative/mapme.biodiversity?branch=master)
 [![CRAN
-status](https://www.r-pkg.org/badges/version/mapme.biodiversity)](https://CRAN.R-project.org/package=mapme.biodiversity)
+status](https://badges.cranchecks.info/summary/mapme.biodiversity.svg)](https://cran.r-project.org/web/checks/check_results_mapme.biodiversity.html)
+[![CRAN
+version](https://www.r-pkg.org/badges/version/mapme.biodiversity)](https://CRAN.R-project.org/package=mapme.biodiversity)
+[![License](https://img.shields.io/badge/License-GPL%20(%3E=3)-brightgreen.svg?style=flat)](https://choosealicense.com/licenses/gpl-3.0/)
+
 <!-- badges: end -->
 
 # mapme.biodiversity <img src="man/figures/logo.png" align="right" height="110"/>
@@ -14,7 +18,7 @@ status](https://www.r-pkg.org/badges/version/mapme.biodiversity)](https://CRAN.R
 
 Biodiversity areas, especially primary forests, provide multiple
 ecosystem services for the local population and the planet as a whole.
-The rapid expansion of human landuse into natural ecosystems and the
+The rapid expansion of human land use into natural ecosystems and the
 impacts of the global climate crisis put natural ecosystems and the
 global biodiversity under threat.
 
@@ -62,7 +66,7 @@ library(mapme.biodiversity)
 library(sf)
 ```
 
-    ## Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE
+    ## Linking to GEOS 3.11.1, GDAL 3.6.1, PROJ 9.1.1; sf_use_s2() is TRUE
 
 ``` r
 resources <- names(available_resources())