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Vegetation cluster analysis

Functions for unsupervised and semi-supervised classification of vegetation

wetland
Wetland vegetation data set
as.vegclust()
Turns into vegclust objects
as.memb()
Turns into membership matrix
conformveg()
Conform two community data tables
vegclass()
Classifies vegetation communities
vegclust-package
Fuzzy Clustering of Vegetation Data Functions for fuzzy and hard clustering of vegetation data
vegclust() vegclustdist()
Vegetation clustering methods
vegclust2kmeans()
Reshapes as kmeans object
vegclustIndex()
Compute fuzzy evaluation statistics
clustcentroid() clustmedoid()
Cluster centers of a classification
clustconst() summary(<clustconst>)
Constancy table of a classification
clustvar()
Cluster variance
concordance()
Concordance between two classifications
crossmemb()
Cross-table of two fuzzy classifications
incr.vegclust()
Noise clustering with increasing number of clusters
hier.vegclust() hier.vegclustdist() random.vegclust() random.vegclustdist()
Clustering with several number of clusters
defuzzify()
Defuzzifies a fuzzy partition
interclustdist()
Calculates the distance between pairs of cluster centroids
hcr()
Heterogeneity-constrained random resampling (HCR)
relate.levels()
Relates two clustering level results.
plot(<mvegclust>)
Plots clustering results

Structural-compositional dissimilarity

Functions to assess commmunity dissimilarity in terms of composition and structure

vegdiststruct()
Structural and compositional dissimilarity
CAP() CAP2matrix() CAPcenters() CAPquantile()
Cumulative abundance profile (CAP)
CAS() CASmargin() CAS2matrix() CAScenters() CASquantile()
Cumulative abundance surface (CAS)
stratifyvegdata() as.stratifiedvegdata()
Reshapes community data from individual into stratified form
treedata
Synthetic vegetation data set with tree data
plot(<CAP>) plot(<stratifiedvegdata>)
Draws cummulative abundance profiles
plot(<CAS>)
Draws a cummulative abundance surface
medreg
Regeneration of Mediterranean vegetation data set