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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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