4.6 Article

The geodiv r package: Tools for calculating gradient surface metrics

Journal

METHODS IN ECOLOGY AND EVOLUTION
Volume 12, Issue 11, Pages 2094-2100

Publisher

WILEY
DOI: 10.1111/2041-210X.13677

Keywords

geodiversity; gradient surface model; landscape ecology; r package; remote sensing; spatial heterogeneity; spatial pattern; surface metrics

Categories

Funding

  1. National Aeronautics and Space Administration [NNX16AQ44G, NNX16AQ45G]
  2. National Science Foundation [1926567]
  3. Michigan State University
  4. Direct For Biological Sciences
  5. Division Of Environmental Biology [1926567] Funding Source: National Science Foundation

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The geodiv r package calculates gradient surface metrics from imagery and other gridded datasets to provide continuous measures of landscape heterogeneity for landscape pattern analysis. It is the first open-source, command line toolbox for calculating many gradient surface metrics and easily integrates parallel computing for applications with large images or rasters. The package allows users to easily retrieve estimates of spatial heterogeneity for a variety of purposes, enhancing our understanding of how environmental structure influences ecosystem processes.
The geodiv r package calculates gradient surface metrics from imagery and other gridded datasets to provide continuous measures of landscape heterogeneity for landscape pattern analysis. geodiv is the first open-source, command line toolbox for calculating many gradient surface metrics and easily integrates parallel computing for applications with large images or rasters (e.g. remotely sensed data). All functions may be applied either globally to derive a single metric for an entire image or locally to create a texture image over moving windows of a user-defined extent. We present a comprehensive description of the functions available through geodiv. A supplemental vignette provides an example application of geodiv to the fields of landscape ecology and biogeography. geodiv allows users to easily retrieve estimates of spatial heterogeneity for a variety of purposes, enhancing our understanding of how environmental structure influences ecosystem processes. The package works with any continuous imagery and may be widely applied in many fields where estimates of surface complexity are useful.

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