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spatialwarnings: Spatial Early Warning Signals of Ecosystem Degradation (original) (raw)

Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation. EWS are spatial metrics derived from raster data – 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: 3.1.1
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, acss.data, mgcv, gstat, sp, raster
Published: 2025-08-18
DOI: 10.32614/CRAN.package.spatialwarnings
Author: Alain Danet [aut], Alexandre Genin ORCID iD [aut, cre], Vishwesha Guttal [aut], Sonia Kefi [aut], Sabiha Majumder [aut], Sumithra Sankaran [aut], Florian Schneider [aut]
Maintainer: Alexandre Genin <alexandre.genin at sete.cnrs.fr>
BugReports: https://github.com/spatial-ews/spatialwarnings/issues
License: MIT + file
URL: https://github.com/spatial-ews/spatialwarnings
NeedsCompilation: yes
Citation: spatialwarnings citation info
Materials:
CRAN checks: spatialwarnings results

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