Learn R Programming

spatialwarnings (version 3.1.1)

Spatial Early Warning Signals of Ecosystem Degradation

Description

Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation. 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) ).

Copy Link

Version

Install

install.packages('spatialwarnings')

Monthly Downloads

377

Version

3.1.1

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/spatial-ews/spatialwarnings

Maintainer

Alexandre Genin

Last Published

August 18th, 2025

Functions in spatialwarnings (3.1.1)

Distribution-fitting functions

Display the r-spectrum of a spectral_sews object

raw_cg_variance

Spatial variance indicator

Moran's Index at lag of 1

raw_cg_skewness

Skewness indicator

Objects exported from other packages

Structural variance

Spectral Density Ratio (SDR) indicator

simple_sews objects

Kolmogorov complexity of a matrix

Power-law range indicator

Spatial correlation at lag 1

raw_variogram_metrics

Variogram parameters

Serengeti dataset

variogram_sews_plot

Early-warning signals based on variograms

Spectrum-based spatial early-warning signals.

Early-Warning signals based on variograms (EXPERIMENTAL)

plot.simple_sews_test

Spatial early-warning signals: display of trends

variogram_sews_predict

predict() method for variogram_sews objects

spatialwarnings-package

Early Spatial-Warnings of Ecosystem Degradation

Estimate the minimum patch size of a power-law distribution

The Lifshitz-Slyozov-Wagner distribution

Matrix coarse-graining

Aerial views of vegetation from Arizona, USA

create_indicator

Custom Spatial Early-Warning signals

convert_to_matrix

Convert an object to a matrix

extract_spectrum

Extract the r-spectrum from objects

extract_variogram

extract_variogram() method for variogram_sews objects

display_size_info

Display size information of a sews_result object

Density-dependent aggregation model

indicator_psdtype

Change in patch-size distributions types

Generic Spatial Early-Warning signals

Indicator based on Kolmogorov Complexity

Labelling of unique patches and detection of percolation.

Significance-assessment of spatial early-warning signals

patchdistr_sews

Early-warning signals based on patch size distributions

indicator_plrange

Power-law range indicator

flowlength_sews

Flowlength connectivity indicator (uniform topography)

A list of binary matrices and their associated parameters

Indicators based on the LSW distribution

Clustering of pairs

raw_flowlength_uniform

Flow length (uniform slope)

patchdistr_sews_predict

predict method for patchdistr_sews objects

patchdistr_sews_plot

Early-warning signals based on patch size distributions

Get patch sizes.