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: | 0.2.2 |
| 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: | 2020-11-23 |
| Author: | Antoine Bagnaro |
| Maintainer: | Antoine Bagnaro <antoine.bagnaro at postgrad.otago.ac.nz> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | EcotoneFinder results |
| Reference manual: | EcotoneFinder.pdf |
| Package source: | EcotoneFinder_0.2.2.tar.gz |
| Windows binaries: | r-devel: EcotoneFinder_0.2.2.zip, r-release: EcotoneFinder_0.2.2.zip, r-oldrel: EcotoneFinder_0.2.2.zip |
| macOS binaries: | r-release: EcotoneFinder_0.2.2.tgz, r-oldrel: EcotoneFinder_0.2.2.tgz |
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