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Provides methods for calculating diversity indices on numerical matrices, based on information theory, following Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039> and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.
Version: | 0.3.7 |
Depends: | R (≥ 4.0.0) |
Imports: | doParallel, foreach, ggforce, ggplot2, methods, progress, proxy, terra, twdtw, viridis |
Suggests: | COVID19, RColorBrewer, gstat, gridExtra, knitr, latticeExtra, rasterVis, rmarkdown |
Published: | 2025-09-01 |
Author: | Matteo Marcantonio [aut, cre], Martina Iannacito [ctb] (Former author), Elisa Marchetto [ctb] (Former author), Elisa Thouverai [ctb] (Former author), Michele Torresani [ctb] (Former author), Daniele Da Re [ctb] (Former author), Clara Tattoni [ctb] (Former author), Giovanni Bacaro [ctb] (Former author), Saverio Vicario [aut], Carlo Ricotta [ctb] (Former author), Duccio Rocchini [aut] |
Maintainer: | Matteo Marcantonio <marcantoniomatteo at gmail.com> |
BugReports: | https://github.com/mattmar/rasterdiv/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://mattmar.github.io/rasterdiv/ |
NeedsCompilation: | no |
Language: | en-GB |
Citation: | rasterdiv citation info |
Materials: | NEWS |
CRAN checks: | rasterdiv results |
Reference manual: | rasterdiv.html , rasterdiv.pdf |
Vignettes: |
Indices of diversity from NDVI. (source, R code) Area-based Rao's index. (source, R code) Multidimension Rao's Index. (source, R code) Derive the Accumulation Rao's Index (source, R code) |
Package source: | rasterdiv_0.3.7.tar.gz |
Windows binaries: | r-devel: rasterdiv_0.3.6.zip, r-release: rasterdiv_0.3.6.zip, r-oldrel: rasterdiv_0.3.6.zip |
macOS binaries: | r-release (arm64): rasterdiv_0.3.6.tgz, r-oldrel (arm64): rasterdiv_0.3.6.tgz, r-release (x86_64): rasterdiv_0.3.6.tgz, r-oldrel (x86_64): rasterdiv_0.3.7.tgz |
Old sources: | rasterdiv archive |
Reverse imports: | prior3D |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.