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vegclust (version 2.0.0)

Fuzzy Clustering of Vegetation Data

Description

A set of functions to: (1) perform fuzzy clustering of vegetation data [De Caceres et al. (2010) ]; (2) to assess ecological community ressemblance on the basis of structure and composition [De Caceres et al. (2013): ].

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Version

Install

install.packages('vegclust')

Monthly Downloads

923

Version

2.0.0

License

GPL (>= 2)

Maintainer

Last Published

June 1st, 2021

Functions in vegclust (2.0.0)

Cross-table of two fuzzy classifications

Cluster centers of a classification

Cumulative abundance profile (CAP)

Turns into membership matrix

Constancy table of a classification

Cluster variance

Conform two community data tables

Turns into vegclust objects

Cumulative abundance surface (CAS)

Concordance between two classifications

Calculates the distance between pairs of cluster centroids

Regeneration of Mediterranean vegetation data set

Wetland vegetation data set

Plots clustering results

Vegetation clustering methods

vegclust2kmeans

Reshapes as kmeans object

Relates two clustering level results.

Noise clustering with increasing number of clusters

Classifies vegetation communities

Clustering with several number of clusters

vegclust-package

tools:::Rd_package_title("vegclust") Functions for fuzzy and hard clustering of vegetation data

Draws a cummulative abundance surface

Synthetic vegetation data set with tree data

stratifyvegdata

Reshapes community data from individual into stratified form

Draws cummulative abundance profiles

Compute fuzzy evaluation statistics

Structural and compositional dissimilarity

Heterogeneity-constrained random resampling (HCR)

Defuzzifies a fuzzy partition