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: 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

Downloads:

Reference manual: spatialwarnings.pdf
Package source: spatialwarnings_2.0.0.tar.gz
Windows binaries: r-devel: spatialwarnings_2.0.0.zip, r-devel-UCRT: 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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