| spatialwarnings-package | Early Spatial-Warnings of Ecosystem Degradation |
| arizona | Aerial views of vegetation from Arizona, USA |
| coarse_grain | Matrix coarse-graining |
| compute_indicator | Custom Spatial Early-Warning signals |
| convert_to_matrix | Convert an object to a matrix |
| create_indicator | Custom Spatial Early-Warning signals |
| custom_indicator | Custom Spatial Early-Warning signals |
| dda | Density-dependent aggregation model |
| dda.pars | Density-dependent aggregation model |
| display_matrix | Plot a matrix |
| dLSW | The Lifshitz-Slyozov-Wagner distribution |
| exp_fit | Distribution-fitting functions |
| extract_spectrum | Extract the r-spectrum from objects |
| extract_variogram | extract_variogram() method for variogram_sews objects |
| flowlength_sews | Flowlength connectivity indicator (uniform topography) |
| forestgap | A list of binary matrices and their associated parameters |
| forestgap.pars | A list of binary matrices and their associated parameters |
| generic_sews | Generic Spatial Early-Warning signals |
| indicator_plrange | Power-law range indicator |
| indicator_psdtype | Change in patch-size distributions types |
| indictest | Significance-assessment of spatial early-warning signals |
| kbdm_sews | Indicator based on Kolmogorov Complexity |
| label | Labelling of unique patches and detection of percolation. |
| lnorm_fit | Distribution-fitting functions |
| LSW_fit | The Lifshitz-Slyozov-Wagner distribution |
| lsw_sews | Indicators based on the LSW distribution |
| pair_counts | Clustering of pairs |
| patchdistr_sews | Early-warning signals based on patch size distributions |
| patchdistr_sews_plot | Early-warning signals based on patch size distributions |
| patchdistr_sews_predict | predict method for patchdistr_sews objects |
| patchsizes | Get patch sizes. |
| percolation | Labelling of unique patches and detection of percolation. |
| plot.patchdistr_sews | Early-warning signals based on patch size distributions |
| plot.simple_sews_list | Spatial early-warning signals: display of trends |
| plot.simple_sews_test | Spatial early-warning signals: display of trends |
| plot.variogram_sews | Early-warning signals based on variograms |
| plot.variogram_sews_test | Early-warning signals based on variograms |
| plot_distr | Early-warning signals based on patch size distributions |
| plot_spectrum | Display the r-spectrum of a 'spectral_sews' object |
| plot_variogram | Early-warning signals based on variograms |
| plot_variogram.variogram_sews | Early-warning signals based on variograms |
| plot_variogram.variogram_sews_test | Early-warning signals based on variograms |
| pLSW | The Lifshitz-Slyozov-Wagner distribution |
| pl_fit | Distribution-fitting functions |
| predict.patchdistr_sews_single | predict method for patchdistr_sews objects |
| predict.variogram_sews_list | predict() method for variogram_sews objects |
| raw_cg_moran | Moran's Index at lag of 1 |
| raw_cg_skewness | Skewness indicator |
| raw_cg_variance | Spatial variance indicator |
| raw_clustering | Clustering of pairs |
| raw_flowlength_uniform | Flow length (uniform slope) |
| raw_kbdm | Kolmogorov complexity of a matrix |
| raw_lsw_aicw | Indicators based on the LSW distribution |
| raw_moran | Spatial correlation at lag 1 |
| raw_patch_radii_skewness | Indicators based on the LSW distribution |
| raw_plrange | Power-law range indicator |
| raw_sdr | Spectral Density Ratio (SDR) indicator |
| raw_structvar | Structural variance |
| raw_variogram_metrics | Variogram parameters |
| rspectrum | r-spectrum |
| serengeti | Serengeti dataset |
| serengeti.rain | Serengeti dataset |
| simple_sews | 'simple_sews' objects |
| simple_sews_object | 'simple_sews' objects |
| spatialwarnings | Early Spatial-Warnings of Ecosystem Degradation |
| spectral_sews | Spectrum-based spatial early-warning signals. |
| tpl_fit | Distribution-fitting functions |
| variogram_sews | Early-Warning signals based on variograms (EXPERIMENTAL) |
| variogram_sews_plot | Early-warning signals based on variograms |
| variogram_sews_predict | predict() method for variogram_sews objects |
| xmin_estim | Estimate the minimum patch size of a power-law distribution |