Characterising and Locating Ecotones and Communities

Analytical methods to locate and characterise ecotones, ecosystems and environmental patchiness along ecological gradients. Methods are implemented for isolated sampling or for space/time series. It includes Detrended Correspondence Analysis (Hill & Gauch (1980) ), fuzzy clustering (De Cáceres et al. (2010) ), biodiversity indices (Jost (2006) ), and network analyses (Epskamp et al. (2012) ) - as well as tools to explore the number of clusters in the data. Functions to produce synthetic ecological datasets are also provided.


Reference manual

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0.2.3 by Antoine Bagnaro, a year ago

Browse source code at

Authors: Antoine Bagnaro

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports cluster, colorspace, corrplot, e1071, ggplot2, graphics, qgraph, igraph, methods, philentropy, plyr, purrr, reshape, rlang, Rmisc, stats, vegan, vegclust, withr

Suggests testthat, knitr, rmarkdown, bookdown

See at CRAN