chooseGCM: Selecting General Circulation Models for Species Distribution Modeling

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

AuthorDayani 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>)
MaintainerLuíz Esser <luizesser@gmail.com>
LicenseMIT + file LICENSE
Version1.0.2
URL https://luizesser.github.io/chooseGCM/ https://github.com/luizesser/chooseGCM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("chooseGCM")

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chooseGCM documentation built on April 3, 2025, 5:27 p.m.