bioregion_metrics: Calculate contribution metrics for bioregions

In bioregion: Comparison of Bioregionalisation Methods

Calculate contribution metrics for bioregions

Description

This function calculates the number of sites per bioregion, as well as the number of species these sites have, the number of endemic species, and the proportion of endemism.

Usage

bioregion_metrics(bioregionalization, comat, map = NULL, col_bioregion = NULL)

Arguments

bioregionalization	A bioregion.clusters object.
comat	A co-occurrence matrix with sites as rows and species as columns.
map	A spatial ⁠sf data.frame⁠ with sites and bioregions. It is the output of the function map_bioregions. NULL by default.
col_bioregion	An integer specifying the column position of the bioregion.

Details

Endemic species are species found only in the sites belonging to one bioregion.

Value

A data.frame with 5 columns, or 6 if spatial coherence is computed.

Author(s)

Pierre Denelle ([e-mail])
Boris Leroy ([e-mail])
Maxime Lenormand ([e-mail])

See Also

For more details illustrated with a practical example, see the vignette: https://biorgeo.github.io/bioregion/articles/a5_3_summary_metrics.html.

Associated functions: site_species_metrics bioregionalization_metrics

Examples

comat <- matrix(sample(1000, 50), 5, 10)
rownames(comat) <- paste0("Site", 1:5)
colnames(comat) <- paste0("Species", 1:10)

net <- similarity(comat, metric = "Simpson")
clust <- netclu_louvain(net)

bioregion_metrics(bioregionalization = clust, 
                  comat = comat) 

bioregion documentation built on April 12, 2025, 9:13 a.m.