Vegclust R package

Introduction: Classifications of vegetation provide a way of summarizing our knowledge of vegetation patterns. They are a necessary tool for nature conservation, landscape mapping and land-use planning. As the basis of vegetation classification is mainly conventional, many methodological options are possible. At least four tasks are necessary in the management of vegetation classifications: (1) Assigning a meaningful vegetation type to the plant community observed in a sampled site; (2) Updating the current definition of vegetation types according to the new vegetation information collected; (3) Defining new vegetation types with those relevés that are considered to be very different to any of the available types; (4) Reviewing classifications generated by other means.

About vegclust: The vegclust package provides functions for maintaining plot-based community classifications using fuzzy clustering methods (De Cáceres et al. 2010). Three models are available: Fuzzy C-means, Noise Clustering and Possibilistic C-means.

Author: Miquel De Cáceres.

AvailabilityDownload vegclust from CRAN.