Fuzzy Clustering of Vegetation Data

A set of functions to: (1) perform fuzzy clustering of vegetation data; (2) to assess ecological community similarity on the basis of structure and composition.

References

De Caceres et al, 2010 (doi:10.1111/j.1654-1103.2010.01211.x ), De Caceres et al, 2013 (doi:10.1111/2041-210X.12116 ).

See also

Useful links:

• https://emf-creaf.github.io/vegclust/index.html

Author

Maintainer: Miquel De Cáceres miquelcaceres@gmail.com [ORCID](https://orcid.org/0000-0001-7132-2080)

Examples

## Loads data  
data(wetland)

## This equals the chord transformation 
wetland.chord <- as.data.frame(sweep(as.matrix(wetland), 1, 
                                     sqrt(rowSums(as.matrix(wetland)^2)), "/"))

## Create noise clustering with 3 clusters. Perform 10 starts from random seeds 
## and keep the best solution
wetland.nc <- vegclust(wetland.chord, mobileCenters=3, m = 1.2, dnoise=0.75, 
                       method="NC", nstart=10)