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chooseGCM: Selecting General Circulation Models for Species Distribution Modeling (original) (raw)

Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs as proposed in Esser et al. (2025) <doi:10.1111/gcb.70008>.

Version: 1.2
Depends: R (≥ 4.1)
Imports: checkmate, cluster, cowplot, factoextra, ggcorrplot, ggplot2, graphics, httr, methods, reshape2, stats, terra, usedist, utils
Suggests: tictoc, testthat, sf, raster, rmarkdown, stars
Published: 2025-08-23
DOI: 10.32614/CRAN.package.chooseGCM
Author: Dayani Bailly ORCID iD [aut], Reginaldo Ré ORCID iD [aut], Marcos R. Lima ORCID iD [aut], Luíz Esser ORCID iD [aut, cre, cph]
Maintainer: Luíz Esser
BugReports: https://github.com/luizesser/chooseGCM/issues
License: MIT + file
URL: https://luizesser.github.io/chooseGCM/,https://github.com/luizesser/chooseGCM
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: chooseGCM results

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