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 LICENSE NeedsCompilation: no CRAN checks: EcotoneFinder results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=EcotoneFinder to link to this page.
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