Spatial Early Warning Signals of Ecosystem Degradation


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Documentation for package ‘spatialwarnings’ version 1.0

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spatialwarnings-package Early Spatial-Warnings of Ecosystem Degradation
coarse_grain Matrix coarse-graining
forestgap A list of binary matrices and their associated parameters
forestgap.pars A list of binary matrices and their associated parameters
generic_spews Generic Spatial Early-Warning signals
indicator_moran Moran's Index at lag of 1
indicator_plrange Power-law range indicator
indicator_psdtype Change in patch-size distributions types
indicator_sdr Spectral Density Ratio (SDR) indicator
indicator_skewness Skewness indicator
indicator_variance Spatial variance indicator
indictest Significance-assessment of spatial early-warning signals
indictest.generic_spews Generic Spatial Early-Warning signals
indictest.spectral_spews Spectrum-based spatial early-warning signals.
label Labelling of unique patches and detection of percolation.
patchdistr_spews Early-warning signals based on patch size distributions
patchdistr_spews_plot Early-warning signals based on patch size distributions
patchdistr_spews_predict predict method for patchdistr_spews objects
patchsizes Get patch sizes.
percolation Labelling of unique patches and detection of percolation.
plot.generic_spews Generic Spatial Early-Warning signals
plot.generic_spews_test Generic Spatial Early-Warning signals
plot.patchdistr_spews Early-warning signals based on patch size distributions
plot.spectral_spews_test Spectrum-based spatial early-warning signals.
plot_distr Early-warning signals based on patch size distributions
plot_spectrum Spectrum-based spatial early-warning signals.
predict.patchdistr_spews_single predict method for patchdistr_spews objects
raw_moran Spatial correlation at lag 1
raw_skewness Skewness
rspectrum r-spectrum
serengeti Serengeti dataset
serengeti.rain Serengeti dataset
spatialwarnings Early Spatial-Warnings of Ecosystem Degradation
spectral_spews Spectrum-based spatial early-warning signals.
xmin_estim Estimate the minimum patch size of a power-law distribution