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): ].


NEWS for R Package "vegclust"

Version history

_Version 1.7.7, January 2019

  1. Bug correction 'stratifyvegdata'

_Version 1.7.6, September 2018

  1. Adapt to Rcpp changes

_Version 1.7.5, August 2018

  1. Now trajectory angles are measured between the direction of the first segment and the direction of the second segment.
  2. Now mean and sd of trajectory angles are calculated using functions of package 'circular'
  3. Parameter 'add' added to community trajectory analysis to deactivate constant addition in triplets violating the triangle inequality.
  4. Update "centerTrajectories" according to Anderson (2017)
  5. Improved CTA vignette

_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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2.0.0 by Miquel De Cáceres, 8 months 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, MASS

Suggests knitr, rmarkdown, RColorBrewer, smacof

Imported by EcotoneFinder.

Suggested by ecotraj, ppclust.

See at CRAN