Selecting General Circulation Models for Species Distribution Modeling R package chooseGCM version 1.3 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>. Software Depends: R (>= 4.1) Imports: checkmate, cli, cluster, cowplot, factoextra, ggcorrplot, ggplot2, graphics, httr2, methods, reshape2, stats, terra, usedist, utils Suggests: tictoc, testthat, sf, raster, rmarkdown, stars Luíz Esser <luizesser@gmail.com> Comprehensive R Archive Network (CRAN) Dayani Bailly [aut] (ORCID: <https://orcid.org/0000-0002-6954-9902>), Reginaldo Ré [aut] (ORCID: <https://orcid.org/0000-0001-6452-3466>), Marcos R. Lima [aut] (ORCID: <https://orcid.org/0000-0002-5901-0911>), Luíz Esser [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2982-7223>) MIT + file LICENSE (https://CRAN.R-project.org/package=chooseGCM/LICENSE) 2026-01-09 application/tgz https://CRAN.R-project.org/package=chooseGCM doi:10.32614/CRAN.package.chooseGCM