EcotoneFinder: 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) <doi:10.1007/BF00048870>), fuzzy clustering (De Cáceres et al. (2010) <doi:10.1080/01621459.1963.10500845>), biodiversity indices (Jost (2006) <doi:10.1111/j.2006.0030-1299.14714.x>), and network analyses (Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>) - as well as tools to explore the number of clusters in the data. Functions to produce synthetic ecological datasets are also provided.

Version: 0.2.3
Depends: R (≥ 3.5.0)
Imports: cluster, colorspace, corrplot, e1071, ggplot2, graphics, qgraph, igraph, methods, philentropy, plyr, purrr, reshape, rlang, Rmisc, stats, vegan, vegclust, withr
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, bookdown
Published: 2021-02-16
Author: Antoine Bagnaro
Maintainer: Antoine Bagnaro <antoine.bagnaro at wanadoo.fr>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: EcotoneFinder results

Downloads:

Reference manual: EcotoneFinder.pdf
Package source: EcotoneFinder_0.2.3.tar.gz
Windows binaries: r-devel: EcotoneFinder_0.2.3.zip, r-release: EcotoneFinder_0.2.3.zip, r-oldrel: EcotoneFinder_0.2.3.zip
macOS binaries: r-release: EcotoneFinder_0.2.3.tgz, r-oldrel: EcotoneFinder_0.2.3.tgz
Old sources: EcotoneFinder archive

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