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 [aut], Reginaldo Ré [aut], Marcos R. Lima [aut], Luíz Esser [aut, cre, cph] |
| Maintainer: | Luíz Esser <luizesser at gmail.com> |
| BugReports: | https://github.com/luizesser/chooseGCM/issues |
| License: | MIT + fileLICENSE |
| URL: | https://luizesser.github.io/chooseGCM/,https://github.com/luizesser/chooseGCM |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | chooseGCM results |