bioregion: Comparison of Bioregionalization Methods

The main purpose of this package is to propose a transparent methodological framework to compare bioregionalization methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).

Version:	1.3.0
Depends:	R (≥ 4.0.0)
Imports:	ape, apcluster, bipartite, cluster, data.table, dbscan, dynamicTreeCut, fastcluster, fastkmedoids, ggplot2, grDevices, httr, igraph, mathjaxr, Matrix, phangorn, rcartocolor, Rdpack, rlang, rmarkdown, segmented, sf, stats, tidyr, utils
LinkingTo:	Rcpp
Suggests:	ade4, adespatial, betapart, dplyr, ecodist, knitr, microbenchmark, rnaturalearth, rnaturalearthdata, testthat (≥ 3.0.0), vegan
Published:	2026-01-23
DOI:	10.32614/CRAN.package.bioregion
Author:	Maxime Lenormand [aut, cre], Boris Leroy [aut], Pierre Denelle [aut]
Maintainer:	Maxime Lenormand <maxime.lenormand at inrae.fr>
BugReports:	https://github.com/bioRgeo/bioregion/issues
License:	GPL-3
URL:	https://github.com/bioRgeo/bioregion, https://bioRgeo.github.io/bioregion/
NeedsCompilation:	yes
Citation:	bioregion citation info
CRAN checks:	bioregion results

Documentation:

Reference manual:	bioregion.html , bioregion.pdf
Vignettes:	5.2 Summary metrics (source, R code) 5.3 Compare bioregionalizations (source, R code) Tutorial for bioregion (source, R code) Citing articles (source)

Downloads:

Package source:	bioregion_1.3.0.tar.gz
Windows binaries:	r-devel: bioregion_1.2.0.zip, r-release: bioregion_1.2.0.zip, r-oldrel: bioregion_1.2.0.zip
macOS binaries:	r-release (arm64): bioregion_1.2.0.tgz, r-oldrel (arm64): bioregion_1.2.0.tgz, r-release (x86_64): bioregion_1.3.0.tgz, r-oldrel (x86_64): bioregion_1.2.0.tgz
Old sources:	bioregion archive

Linking:

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