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],
Luíz Esser [aut,
cre, cph] |
| Maintainer: |
Luíz 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 |