Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation on raster data sets. EWS are metrics derived from the observed spatial structure of an ecosystem – e.g. spatial autocorrelation – that increase before an ecosystem undergoes a non-linear transition (Genin et al. (2018) <doi:10.1111/2041-210X.13058>).
| Version: | 2.0.0 |
| Depends: | R (≥ 3.3.0), future |
| Imports: | Rcpp, ggplot2, plyr, tidyr, stats, utils, future.apply, gsl |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | moments, poweRlaw, testthat, covr, acss, mgcv |
| Published: | 2020-05-14 |
| Author: | Alain Danet, Alexandre Genin, Vishwesha Guttal, Sonia Kefi, Sabiha Majumder, Sumithra Sankaran, Florian Schneider |
| Maintainer: | Alexandre Genin <alexandre.genin at umontpellier.fr> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/spatial-ews/spatialwarnings |
| NeedsCompilation: | yes |
| Citation: | spatialwarnings citation info |
| Materials: | NEWS |
| CRAN checks: | spatialwarnings results |
| Reference manual: | spatialwarnings.pdf |
| Package source: | spatialwarnings_2.0.0.tar.gz |
| Windows binaries: | r-devel: spatialwarnings_2.0.0.zip, r-release: spatialwarnings_2.0.0.zip, r-oldrel: spatialwarnings_2.0.0.zip |
| macOS binaries: | r-release: spatialwarnings_2.0.0.tgz, r-oldrel: spatialwarnings_2.0.0.tgz |
| Old sources: | spatialwarnings archive |
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