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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

Documentation:

Reference manual: EcotoneFinder.pdf

Downloads:

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 (arm64): EcotoneFinder_0.2.3.tgz, r-oldrel (arm64): EcotoneFinder_0.2.3.tgz, r-release (x86_64): EcotoneFinder_0.2.3.tgz, r-oldrel (x86_64): EcotoneFinder_0.2.3.tgz
Old sources: EcotoneFinder archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EcotoneFinder to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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