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.">

EcotoneFinder: Characterising and Locating Ecotones and Communities (original) (raw)

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
DOI: 10.32614/CRAN.package.EcotoneFinder
Author: Antoine Bagnaro
Maintainer: Antoine Bagnaro <antoine.bagnaro at wanadoo.fr>
License: MIT + file
NeedsCompilation: no
CRAN checks: EcotoneFinder results

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