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 [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 + fileLICENSE |
| URL: | https://github.com/spatial-ews/spatialwarnings |
| NeedsCompilation: | yes |
| Citation: | spatialwarnings citation info |
| Materials: | NEWS |
| CRAN checks: | spatialwarnings results |