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DESCRIPTION
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DESCRIPTION
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Package: spatialwarnings
Type: Package
Title: Spatial Early Warning Signals of Ecosystem Degradation
Version: 3.1.0
Authors@R: c(person(given = "Alain",
family = "Danet",
role = "aut"),
person(given = "Alexandre",
family = "Genin",
role = c("aut", "cre"),
email = "alexandre.genin@sete.cnrs.fr"),
person(given = "Vishwesha",
family = "Guttal",
role = "aut"),
person(given = "Sonia",
family = "Kefi",
role = "aut"),
person(given = "Sabiha",
family = "Majumder",
role = "aut"),
person(given = "Sumithra",
family = "Sankaran",
role = "aut"),
person(given = "Florian",
family = "Schneider",
role = "aut"))
License: MIT + file LICENSE
Maintainer: Alexandre Genin <alexandre.genin@sete.cnrs.fr>
Description: 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>).
URL: https://github.com/spatial-ews/spatialwarnings
BugReports: https://github.com/spatial-ews/spatialwarnings/issues
Depends: R (>= 3.3.0), future
Imports:
Rcpp,
ggplot2,
plyr,
stats,
utils,
future.apply,
gsl,
segmented
Suggests:
moments,
poweRlaw,
reshape2,
testthat,
covr,
acss,
mgcv,
gstat,
sp,
raster
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RoxygenNote: 7.2.3
Encoding: UTF-8