| 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.concave.hull | Analysis of Niche Overlap in Environmental Space for Changed Climates via Concave Hulls | 
| ensemble.concave.union | Analysis of Niche Overlap in Environmental Space for Changed Climates via Concave Hulls | 
| ensemble.concave.venn | Analysis of Niche Overlap in Environmental Space for Changed Climates via Concave Hulls | 
| 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 | Suitability mapping via absolute and optimal precipitation and temperature limits as in the ECOCROP model. | 
| ensemble.ecocrop.object | Suitability mapping via absolute and optimal precipitation and temperature limits as in the ECOCROP model. | 
| ensemble.envBlock | Spatially or environmentally separated folds for cross-validation via blockCV::spatialBlock or blockCV::envBlock | 
| ensemble.envirem.masterstack | Calculate bioclimatic variables via the 'envirem' package for data.frames. | 
| ensemble.envirem.run | Calculate bioclimatic variables via the 'envirem' package for data.frames. | 
| ensemble.envirem.solradstack | Calculate bioclimatic variables via the 'envirem' package for data.frames. | 
| 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.outliers | Analysis of Niche Overlap in Environmental Space for Changed Climates via Concave Hulls | 
| 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.Tjur | Model evaluation including True Skill Statistic (TSS), AUCdiff and Symmetric Extremal Dependence Index (SEDI). | 
| 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 |