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: 1.0.2 Depends: R (≥ 2.10) Imports: checkmate, cluster, cowplot, factoextra, ggcorrplot, ggplot2, graphics, httr, methods, reshape2, stats, terra, usedist, utils Suggests: tictoc, testthat, sf, knitr, raster, rmarkdown, stars Published: 2025-01-16 DOI: 10.32614/CRAN.package.chooseGCM Author: Dayani Bailly [aut], Reginaldo Ré [aut], Marcos R. Lima [aut], LuÃz Esser [aut, cre, cph] Maintainer: LuÃz Esser <luizesser at gmail.com> BugReports: https://github.com/luizesser/chooseGCM/issues License: MIT + file LICENSE URL: https://luizesser.github.io/chooseGCM/, https://github.com/luizesser/chooseGCM NeedsCompilation: no Materials: README NEWS CRAN checks: chooseGCM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=chooseGCM to link to this page.
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