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vegclust (version 1.7.1)

Fuzzy Clustering of Vegetation Data

Description

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

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Version

Install

install.packages('vegclust')

Monthly Downloads

1,020

Version

1.7.1

License

GPL (>= 2)

Maintainer

Miquel Caceres

Last Published

September 17th, 2017

Functions in vegclust (1.7.1)

vegclust-package

Functions for fuzzy and hard clustering of vegetation data

stratifyvegdata

Reshapes community data from individual into stratified form

Relates two clustering level results.

Community trajectory analysis

vegclust2kmeans

Reshapes as kmeans object

Compute fuzzy evaluation statistics

Structural and compositional dissimilarity

Wetland vegetation data set

Synthetic vegetation data set with tree data

Vegetation clustering methods

Classifies vegetation communities

Cross-table of two fuzzy classifications

Turns into vegclust objects

Cluster centers of a classification

Conform two community data tables

Turns into membership matrix

Constancy table of a classification

Cumulative abundance surface (CAS)

Cumulative abundance profile (CAP)

Plots clustering results

Cluster variance

Concordance between two classifications

Defuzzifies a fuzzy partition

Heterogeneity-constrained random resampling (HCR)

Regeneration of Mediterranean vegetation data set

Draws cummulative abundance profiles

Draws a cummulative abundance surface

Calculates the distance between pairs of cluster centroids

Clustering with several number of clusters

Noise clustering with increasing number of clusters