| ensemble.accepted.categories |
Suitability mapping based on ensembles of modelling algorithms: handling of categorical data |
| ensemble.analogue |
Climate analogues from climatic distance raster layers. |
| ensemble.analogue.object |
Climate analogues from climatic distance raster layers. |
| ensemble.area |
Suitability mapping based on ensembles of modelling algorithms: consensus mapping |
| ensemble.batch |
Suitability mapping based on ensembles of modelling algorithms: batch processing |
| ensemble.bioclim |
Suitability mapping based on the BIOCLIM algorithm |
| ensemble.bioclim.graph |
Graphs of bioclimatic ranges of species and climates |
| ensemble.bioclim.graph.data |
Graphs of bioclimatic ranges of species and climates |
| ensemble.bioclim.object |
Suitability mapping based on the BIOCLIM algorithm |
| ensemble.calibrate.models |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.calibrate.models.gbm |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.calibrate.models.nnet |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.calibrate.weights |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.centroids |
Mapping of environmental zones based on the Mahalanobis distance from centroids in environmental space. |
| ensemble.chull.apply |
Area of Occupancy (AOO) and Extent of Occurrence (EOO) via the 'red' library. |
| ensemble.chull.buffer.distances |
Area of Occupancy (AOO) and Extent of Occurrence (EOO) via the 'red' library. |
| ensemble.chull.create |
Area of Occupancy (AOO) and Extent of Occurrence (EOO) via the 'red' library. |
| ensemble.chull.MSDM |
Area of Occupancy (AOO) and Extent of Occurrence (EOO) via the 'red' library. |
| ensemble.drop1 |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.dummy.variables |
Suitability mapping based on ensembles of modelling algorithms: handling of categorical data |
| ensemble.ecocrop |
Mapping of novel environmental conditions (areas where some of the environmental conditions are outside the range of environmental conditions of a reference area). |
| ensemble.ecocrop.object |
Mapping of novel environmental conditions (areas where some of the environmental conditions are outside the range of environmental conditions of a reference area). |
| ensemble.envBlock |
Spatially or environmentally separated folds for cross-validation via blockCV::spatialBlock or blockCV::envBlock |
| ensemble.environmentalThin |
Thinning of presence point coordinates in geographical or environmental space |
| ensemble.environmentalThin.clara |
Thinning of presence point coordinates in geographical or environmental space |
| ensemble.evaluate |
Model evaluation including True Skill Statistic (TSS), AUCdiff and Symmetric Extremal Dependence Index (SEDI). |
| ensemble.formulae |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.habitat.change |
Suitability mapping based on ensembles of modelling algorithms: consensus mapping |
| ensemble.mean |
Suitability mapping based on ensembles of modelling algorithms: batch processing |
| ensemble.novel |
Mapping of novel environmental conditions (areas where some of the environmental conditions are outside the range of environmental conditions of a reference area). |
| ensemble.novel.object |
Mapping of novel environmental conditions (areas where some of the environmental conditions are outside the range of environmental conditions of a reference area). |
| ensemble.outlierThin |
Thinning of presence point coordinates in geographical or environmental space |
| ensemble.pairs |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.PET.season |
Calculate the balance between precipitation and potential evapotranspiration for the dry season with the largest balance (maximum climatological water deficit, accumulated aridity). |
| ensemble.PET.seasons |
Raster calculations of beginnings and lengths of growing seasons from the difference between precipitation (P) and potential evapotranspiration (PET), defining dry months with 2 * P < PET. |
| ensemble.plot |
Suitability mapping based on ensembles of modelling algorithms: batch processing |
| ensemble.prec.season |
Raster calculations of beginnings and lengths of growing seasons from the difference between precipitation (P) and potential evapotranspiration (PET), defining dry months with 2 * P < PET. |
| ensemble.raster |
Suitability mapping based on ensembles of modelling algorithms: consensus mapping |
| ensemble.red |
Area of Occupancy (AOO) and Extent of Occurrence (EOO) via the 'red' library. |
| ensemble.season.suitability |
Raster calculations of beginnings and lengths of growing seasons from the difference between precipitation (P) and potential evapotranspiration (PET), defining dry months with 2 * P < PET. |
| ensemble.SEDI |
Model evaluation including True Skill Statistic (TSS), AUCdiff and Symmetric Extremal Dependence Index (SEDI). |
| ensemble.simplified.categories |
Suitability mapping based on ensembles of modelling algorithms: handling of categorical data |
| ensemble.spatialBlock |
Spatially or environmentally separated folds for cross-validation via blockCV::spatialBlock or blockCV::envBlock |
| ensemble.spatialThin |
Thinning of presence point coordinates in geographical or environmental space |
| ensemble.spatialThin.quant |
Thinning of presence point coordinates in geographical or environmental space |
| ensemble.strategy |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.terra |
Suitability mapping based on ensembles of modelling algorithms: consensus mapping via the terra package |
| ensemble.threshold |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.tmean.season |
Raster calculations of beginnings and lengths of growing seasons from the difference between precipitation (P) and potential evapotranspiration (PET), defining dry months with 2 * P < PET. |
| ensemble.VIF |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.VIF.dataframe |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.weights |
Suitability mapping based on ensembles of modelling algorithms: calibration of models and weights |
| ensemble.zones |
Mapping of environmental zones based on the Mahalanobis distance from centroids in environmental space. |
| evaluation.strip.data |
Evaluation strips for ensemble suitability mapping |
| evaluation.strip.plot |
Evaluation strips for ensemble suitability mapping |