Spatial Early Warning Signals of Ecosystem Degradation

Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation on raster data sets. EWS are metrics derived from the observed spatial structure of an ecosystem -- e.g. spatial autocorrelation -- that increase before an ecosystem undergoes a non-linear transition (Genin et al. (2018) ).


spatialwarnings v1.2 (Release date: 2018-06)

Bug fixes:

  • Compilation errors should be fixed on Solaris
  • Fixed coarse-graining bug when input values are non-integer

spatialwarnings v1.1 (Release date: 2018-06)

This release provides changes as to satisfy referees' comments prior to the publication of the package, as long as minor improvements in documentation.

New features:

  • Support for custom indicators (see ?create_indicator)

Minor changes:

  • Documentation improvements
  • Safer handling of small matrices in SDR computation

Name changes

  • *_spews functions are now deprecated in favor of *_sews functions

Bug fixes

  • Counting patches in matrices with 1 line or 1 column does not crash R anymore
  • The R package should now build on Solaris

spatialwarnings v1.0 (Release date: 2017-11-03)

Initial release

Reference manual

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1.3.1 by Alexandre Genin, 2 months ago

Browse source code at

Authors: Alain Danet , Alexandre Genin , Vishwesha Guttal , Sonia Kefi , Sabiha Majumder , Sumithra Sankaran , Florian Schneider

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, ggplot2, plyr, VGAM, reshape2, tidyr, stats, utils, parallel

Suggests moments, poweRlaw, testthat, covr, acss

Linking to Rcpp, RcppArmadillo

See at CRAN