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vegclust (version 1.7.7)

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): ]; and (3) to perform community trajectory analysis [De Caceres et al. (2019): ].

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Version

Install

install.packages('vegclust')

Monthly Downloads

1,020

Version

1.7.7

License

GPL (>= 2)

Maintainer

Miquel Caceres

Last Published

January 8th, 2019

Functions in vegclust (1.7.7)

Avoca permanent plot dataset

Draws cummulative abundance profiles

Regeneration of Mediterranean vegetation data set

Compute fuzzy evaluation statistics

Cluster centers of a classification

Noise clustering with increasing number of clusters

Calculates the distance between pairs of cluster centroids

Draws a cummulative abundance surface

Community trajectory analysis

Structural and compositional dissimilarity

Concordance between two classifications

Conform two community data tables

Classifies vegetation communities

Clustering with several number of clusters

Heterogeneity-constrained random resampling (HCR)

vegclust-package

vegclust Functions for fuzzy and hard clustering of vegetation data

Plots clustering results

Relates two clustering level results.

stratifyvegdata

Reshapes community data from individual into stratified form

Cumulative abundance profile (CAP)

Cumulative abundance surface (CAS)

Synthetic vegetation data set with tree data

Cross-table of two fuzzy classifications

Defuzzifies a fuzzy partition

Vegetation clustering methods

vegclust2kmeans

Reshapes as kmeans object

Wetland vegetation data set

Turns into membership matrix

Turns into vegclust objects

Constancy table of a classification

Cluster variance