Fuzzy Clustering of Vegetation Data

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): ].


NEWS for R Package "vegclust"

Version history

_Version 1.7.4, May 2018

  1. Improvement of parameter checking in function 'stratifyvegdata'
  2. Documentation of avoca data set
  3. New function 'trajectoryPlot'

_Version 1.7.3, April 2018

  1. New function 'trajectoryConvergence'
  2. New function 'trajectoryDirectionality'
  3. New function 'centerTrajectories'

_Version 1.7.2, April 2018

  1. New function 'trajectoryAngles'.
  2. New function 'trajectoryProjection'.
  3. New vignette for trajectory analysis.

_Version 1.7.1, September 2017

  1. Package encoding. Changed package and author description.

_Version 1.7.0, September 2017.

  1. NEW feature: Trajectory analysis. Functions 'trajectoryDistances', 'trajectoryLengths' and 'trajectoryPCoA.
  2. Added option to 'trajectoryDistances' to allow different symmetrization functions (e.g. min) in addition to 'mean'

Reference manual

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1.7.7 by Miquel De Cáceres, a month ago

Browse source code at https://github.com/cran/vegclust

Authors: Miquel De Cáceres [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports sp, vegan, Kendall, circular, MASS

Depends on Rcpp

Suggests knitr, rmarkdown, RColorBrewer, smacof

Linking to Rcpp

Suggested by ppclust.

See at CRAN