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) ) and network algorithms (Lenormand et al. (2019) and Leroy et al. (2019) ).

Reference manual

install.packages("bioregion")

1.5.0 by Maxime Lenormand, 12 days ago

https://github.com/bioRgeo/bioregion, https://bioRgeo.github.io/bioregion/

Report a bug at https://github.com/bioRgeo/bioregion/issues

Browse source code at https://github.com/cran/bioregion

Authors: Maxime Lenormand [aut, cre] (ORCID: , Boris Leroy [aut] , Pierre Denelle [aut]

Documentation: PDF Manual

GPL-3 license

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, vegan

Suggests ade4, adespatial, betapart, dplyr, ecodist, knitr, microbenchmark, parallel, rnaturalearth, rnaturalearthdata, terra, testthat

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