spatialwarnings: Spatial Early Warning Signals of Ecosystem Degradation

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: 3.0.3
Depends: R (≥ 3.3.0), future
Imports: Rcpp, ggplot2, plyr, stats, utils, future.apply, gsl, segmented
LinkingTo: Rcpp, RcppArmadillo
Suggests: moments, poweRlaw, reshape2, testthat, covr, acss, mgcv, gstat, sp, raster
Published: 2022-03-21
DOI: 10.32614/CRAN.package.spatialwarnings
Author: Alain Danet, Alexandre Genin, Vishwesha Guttal, Sonia Kefi, Sabiha Majumder, Sumithra Sankaran, Florian Schneider
Maintainer: Alexandre Genin <a.a.h.genin at>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: spatialwarnings citation info
Materials: NEWS
CRAN checks: spatialwarnings results


Reference manual: spatialwarnings.pdf


Package source: spatialwarnings_3.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spatialwarnings_3.0.3.tgz, r-oldrel (arm64): spatialwarnings_3.0.3.tgz, r-release (x86_64): spatialwarnings_3.0.3.tgz, r-oldrel (x86_64): spatialwarnings_3.0.3.tgz
Old sources: spatialwarnings archive

Reverse dependencies:

Reverse suggests: chouca


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