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spatialwarnings (version 3.0.3)

Spatial Early Warning Signals of Ecosystem Degradation

Description

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) ).

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Install

install.packages('spatialwarnings')

Monthly Downloads

301

Version

3.0.3

License

MIT + file LICENSE

Issues

9

Pull Requests

0

Stars

14

Forks

4

Maintainer

Alexandre Genin

Last Published

March 21st, 2022

Functions in spatialwarnings (3.0.3)

coarse_grain

Matrix coarse-graining
display_matrix

Plot a matrix
generic_sews

Generic Spatial Early-Warning signals
forestgap

A list of binary matrices and their associated parameters
flowlength_sews

Flowlength connectivity indicator (uniform topography)
extract_variogram

extract_variogram() method for variogram_sews objects
extract_spectrum

Extract the r-spectrum from objects
convert_to_matrix

Convert an object to a matrix
create_indicator

Custom Spatial Early-Warning signals
arizona

A list of classified aerial images of vegetation
indicator_sdr

(DEFUNCT) Density Ratio (SDR) indicator
indicator_moran

(DEFUNCT) Moran's Index at lag of 1
generic_spews

(DEFUNCT) Generic Spatial Early-Warning signals
indicator_skewness

(DEFUNCT) Skewness indicator
patchdistr_spews

(DEFUNCT) Early-warning signals based on patch size distributions
patchdistr_sews_predict

predict method for patchdistr_sews objects
indicator_plrange

Power-law range indicator
raw_sdr

Spectral Density Ratio (SDR) indicator
patchdistr_sews_plot

Early-warning signals based on patch size distributions
indicator_psdtype

Change in patch-size distributions types
patchdistr_sews

Early-warning signals based on patch size distributions
kbdm_sews

Indicator based on Kolmogorov Complexity
label

Labelling of unique patches and detection of percolation.
raw_structvar

Structural variance
pl_fit

Distribution-fitting functions
patchsizes

Get patch sizes.
raw_variogram_metrics

Variogram parameters
spectral_sews

Spectrum-based spatial early-warning signals.
spectral_spews

(DEFUNCT) Spectrum-based spatial early-warning signals.
reexports

Objects exported from other packages
rspectrum

r-spectrum
serengeti

Serengeti dataset
raw_plrange

Power-law range indicator
raw_moran

Spatial correlation at lag 1
simple_sews

simple_sews objects
spatialwarnings-deprecated

Deprecated functions in package spatialwarnings.
plot.simple_sews_test

Spatial early-warning signals: display of trends
indicator_variance

(DEFUNCT) Spatial variance indicator
variogram_sews_plot

Early-warning signals based on variograms
indictest

Significance-assessment of spatial early-warning signals
raw_cg_skewness

Skewness indicator
plot_spectrum

Display the r-spectrum of a spectral_sews object
raw_flowlength_uniform

Flow length (uniform slope)
variogram_sews

Early-Warning signals based on variograms (EXPERIMENTAL)
raw_cg_moran

Moran's Index at lag of 1
raw_kbdm

Kolmogorov complexity of a matrix
raw_cg_variance

Spatial variance indicator
variogram_sews_predict

predict() method for variogram_sews objects
xmin_estim

Estimate the minimum patch size of a power-law distribution
spatialwarnings

Early Spatial-Warnings of Ecosystem Degradation