Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation on raster data sets. 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: |
3.1.0 |
| 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: |
2024-09-06 |
| 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 + file LICENSE |
| URL: |
https://github.com/spatial-ews/spatialwarnings |
| NeedsCompilation: |
yes |
| Citation: |
spatialwarnings citation info |
| Materials: |
NEWS |
| CRAN checks: |
spatialwarnings results |