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Other (not-implemented) metrics #15

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marcosci opened this issue Jun 18, 2018 · 7 comments
Open
14 tasks

Other (not-implemented) metrics #15

marcosci opened this issue Jun 18, 2018 · 7 comments
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enhancement New feature or request help wanted Extra attention is needed todo Issues with things that are to be implemented

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@marcosci
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marcosci commented Jun 18, 2018

To keep it a bit more organized, here a single list with the metrics we are currently missing.

Cell-aggregation metrics

Contrast metrics

Patch level

  • Proximity index (Responsible: 👻) -> Needs user to specify search radius
  • Similarity index (Responsible: 👻) -> Needs user to input similarity table

Class level

  • Linearity index distribution (Responsible: 👻) -> Not in FRAGSTATS manual
  • Connectance (Responsible: @marcosci ) -> Needs nearest neighbor distances, so we wait until we have a good solution for ENN
  • Proximity index distribution (Responsible: 👻) -> Needs search radius
  • Similarity index distribution (Responsible: 👻) -> Needs similarity table
  • Linearity index distribution (Responsible: 👻) -> Not in FRAGSTATS manual
  • MFRAC (Responsible: 👻)

Landscape level

  • Linearity index distribution (Responsible: 👻) -> Missing in FRAGSTATS manual
  • Proximity index distribution (Responsible: 👻) -> Needs search radius
  • Similarity index (Responsible: 👻) -> Needs similarity table
  • Connectance (Responsible: @marcosci )
@marcosci marcosci added help wanted Extra attention is needed todo Issues with things that are to be implemented labels Jun 18, 2018
@r-spatialecology r-spatialecology deleted a comment from marcosci Aug 13, 2018
@Nowosad Nowosad mentioned this issue Mar 12, 2019
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@gazzapol

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@mhesselbarth

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@Klemet

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@mhesselbarth

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@Klemet

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@Nowosad Nowosad changed the title Missing metrics Other (not-implemented) metrics Sep 25, 2023
@Nowosad Nowosad added the enhancement New feature or request label Sep 25, 2023
@aavotins
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aavotins commented May 3, 2024

One of the advantages of Fragstats is the ability to define different interactions between classes when calculating, e.g. core areas or edge contrasts. It seems that {landscapemetrics} is currently only able to use a single value instead of a (contrast oor edge depth) matrix. For example, functions lsm_c_tca, lsm_p_core. Is it planned (and is there any idea of timing?) to implement edge depth and contrast matrix metrics between classes? Or pmaybe there are some building blocks for this, that I have missed?

@mhesselbarth
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All edge metrics have a edge_depth which allows to specify how many rows of cells are considered "edge". You can use show_cores(x, edge_depth=1) vs. show_cores(x, edge_depth=3) to get a visualization of this.

As for the contrast matrix, I don't think this will be implemented soon due to missing time.

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