Spatial Early Warning Signals of Ecosystem Degradation R package spatialwarnings version 3.1.2 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>). Software Depends: R (>= 3.5.0), 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 Alexandre Genin <alexandre.genin@inrae.fr> Comprehensive R Archive Network (CRAN) Alain Danet [aut], Alexandre Genin [aut, cre] (ORCID: <https://orcid.org/0000-0002-3333-1338>), Vishwesha Guttal [aut], Sonia Kefi [aut], Sabiha Majumder [aut], Sumithra Sankaran [aut], Florian Schneider [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=spatialwarnings/LICENSE) 2026-07-23 application/tgz https://CRAN.R-project.org/package=spatialwarnings doi:10.32614/CRAN.package.spatialwarnings