Learn R Programming

⚠️There's a newer version (1.6.1) of this package.Take me there.

betapart (version 1.5.1)

Partitioning Beta Diversity into Turnover and Nestedness Components

Description

Functions to compute pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.

Copy Link

Version

Install

install.packages('betapart')

Monthly Downloads

7,247

Version

1.5.1

License

GPL (>= 2)

Maintainer

Andres Baselga

Last Published

October 18th, 2018

Functions in betapart (1.5.1)

beta.pair.abund

Abundance-based pair-wise dissimilarities

functional.betapart.core

Core calculations of functional dissimilarities metrics

phylo.beta.multi

Multiple-site phylogenetic dissimilarities

Plotting distance decay curves from models computed with decay.model()

beta.sample.abund

Resampling abundance-based multiple-site dissimilarity for n sites

Temporal change in community composition

Cerambycidae from Southern European Countries

Multiple-site dissimilarities

phylo.beta.pair

Pair-wise phylogenetic dissimilarities

phylo.betapart.core

Core calculations of phylogenetic dissimilarities metrics

Fitting distance decay models to pair-wise assemblage similarity

functional.beta.multi

Multiple-site functional dissimilarities

functional.beta.pair

Pair-wise functional dissimilarities

beta.multi.abund

Abundance-based multiple-site dissimilarities

Incidence-based pair-wise dissimilarities

betapart.core.abund

Core calculations of betapart for abundance-based dissimilarity measures

boot.coefs.decay

Bootstrapping the parameters of distance-decay models computed with decay.model()

Resampling multiple-site dissimilarity for n sites

BBS data by state for two timeslices

Partitioning beta diversity into turnover and nestedness components

Core calculations of betapart

Cerambycidae from Northern European Countries

Partitioning pair-wise Bray-Curtis dissimilarities