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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>.
Package details |
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Author | Dayani Bailly [aut] (<https://orcid.org/0000-0002-6954-9902>), Reginaldo Ré [aut] (<https://orcid.org/0000-0001-6452-3466>), Marcos R. Lima [aut] (<https://orcid.org/0000-0002-5901-0911>), Luíz Esser [aut, cre, cph] (<https://orcid.org/0000-0003-2982-7223>) |
Maintainer | Luíz Esser <luizesser@gmail.com> |
License | MIT + file LICENSE |
Version | 1.0.2 |
URL | https://luizesser.github.io/chooseGCM/ https://github.com/luizesser/chooseGCM |
Package repository | View on CRAN |
Installation |
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