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NAME

r.niche.similarity - Computes niche overlap or similarity

KEYWORDS

raster, niche modelling

SYNOPSIS

r.niche.similarity
r.niche.similarity --help
r.niche.similarity [-idc] maps=name[,name,...] [output=name] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-i
I niche similarity
-d
D niche similarity
-c
Correlation
--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters:

maps=name[,name,...] [required]
Input maps
output=name
Name of output text file

Table of contents

DESCRIPTION

r.niche.similarity

A module to compute two metrics to quantify niche similarity or overlap between all pairs of input raster layers.

One is the niche equivalency or similarity for two species following Warren et al. (2008) based on Schoeners D (Schoener, 1968). This metric ranges from 0 to 1, representing respectively no overlap and an identical distribution.

The other is the niche overlap metric which indicates the niche overlap from predictions of species distributions with the I similarity statistic of Warren et al. (2009), which is based on Hellinger Distances (van der Vaart, 1998). The statistic ranges from 0 (no overlap) to 1 (the distributions are identical).

By default the results are written to screen, but they can also be written to a text file with two columns for the names of each pair of rasters, a third column for the type of statistic (D or I) and a fourth column for the D or I statistic.

Notes

This implementation is especially suitable if you are working with very large data sets. Results were checked against the niche.overlap function in the phyloclim package for R, which also uses the corrected formulation of I as published in an erratum of the article by Warren et al (2008).

REFERENCES

AUTHOR

Paulo van Breugel, paulo at ecodiv.org

SOURCE CODE

Available at: r.niche.similarity source code (history)

Latest change: Sunday Jun 04 14:27:07 2023 in commit: 3b15657f641a609a6ed8f67e02e68cd82617df24


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