bioregion

ThisR package gathers a comprehensive set of algorithms to perform bioregionalisation analyses.

Bioregionalisation methods can be based on hierarchical clustering algorithms, non-hierarchical clustering algorithms or network algorithms.

⏬ Installation

The package can be installed with the following command line in R session:

From the CRAN

install.packages("bioregion")

or from GitHub

# install.packages("devtools")devtools::install_github("bioRgeo/bioregion")

📜 Vignettes

We wrote several vignettes that will help you using thebioregion R package. Vignettes available are the following ones:

Alternatively, if you prefer to view the vignettes in R, you can install the package withbuild_vignettes = TRUE. But be aware that some vignettes can be slow to generate.

remotes::install_github("bioRgeo/bioregion",                        dependencies=TRUE,                        upgrade="ask",                        build_vignettes=TRUE)vignette("bioregion")

🖥️ Functions

An overview of all functions and data is givenhere.

🐛 Find a bug?

Thank you for finding it. Head over to the GitHub Issues tab and let us know about it. Alternatively, you can also send us an e-mail. We will try to get to it as soon as we can!

References and dependencies

bioregion depends onape,apcluster,bipartite,cluster,data.table,dbscan,dynamicTreeCut,earth,fastcluster,ggplot2,grDevices,httr,igraph,mathjaxr,Matrix,phangorn,Rdpack,rlang,rmarkdown,segmented,sf,stats,tidyr andutils.