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: | 1.3.1 |
Depends: | R (≥ 3.3.0) |
Imports: | Rcpp, ggplot2 (≥ 1.0.0), plyr, VGAM, reshape2, tidyr, stats, utils, parallel |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | moments, poweRlaw, testthat, covr, acss |
Published: | 2018-12-20 |
Author: | Alain Danet, Alexandre Genin, Vishwesha Guttal, Sonia Kefi, Sabiha Majumder, Sumithra Sankaran, Florian Schneider |
Maintainer: | Alexandre Genin <alexandre.genin at univ-montp2.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_1.3.1.tar.gz |
Windows binaries: | r-devel: spatialwarnings_1.3.1.zip, r-release: spatialwarnings_1.3.1.zip, r-oldrel: spatialwarnings_1.3.1.zip |
OS X binaries: | r-release: spatialwarnings_1.3.1.tgz, r-oldrel: spatialwarnings_1.3.1.tgz |
Old sources: | spatialwarnings archive |
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