Projection

Projection,ANY,ANY,RasterStack-method

Projection,ANY,ANY,data.frame-method

.Projection.do.proj

.Projection.do.proj,ANY,RasterStack-method

.Projection.do.proj,ANY,data.frame-method

disk.pseudo.abs.selection

disk.pseudo.abs.selection,ANY,RasterStack-method

disk.pseudo.abs.selection,ANY,SpatialPointsDataFrame-method

random.pseudo.abs.selection

random.pseudo.abs.selection,ANY,RasterStack-method

random.pseudo.abs.selection,ANY,SpatialPointsDataFrame-method

sre.pseudo.abs.selection

sre.pseudo.abs.selection,ANY,RasterStack-method

sre.pseudo.abs.selection,ANY,SpatialPointsDataFrame-method

user.defined.pseudo.abs.selection

user.defined.pseudo.abs.selection,ANY,RasterStack-method

user.defined.pseudo.abs.selection,ANY,SpatialPointsDataFrame-method

.Models.prepare.data

.Models.prepare.data,BIOMOD.formated.data-method

.Models.prepare.data,BIOMOD.formated.data.PA-method

biomod2.inner-method

Functions for species distribution modeling, calibration and evaluation,
ensemble of models, ensemble forecasting and visualization. The package permits to run
consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences)
dataset and to combine them in ensemble models and ensemble projections. Some bench of other
evaluation and visualisation tools are also available within the package.

biomod2.inner-method: biomod2 internal functions

Description

Arguments

Author

Details

See Also