ensemble: Ensemble Forecasting of SDMs

In sdmo: Species Distribution Modelling (old version)

Description

Make a Raster object with a weighted averaging over all predictions from several fitted model in a sdmModel object.

Usage

## S4 method for signature 'sdmModel'
ensemble(m, predictors, filename="")

Arguments

m	sdmModel object
predictors	Raster* object
filename	character, output file name

Details

ensemble function uses the fitted models in the sdmModel to generate the prediction given predictor variables. A raster will be created.

Value

a Raster object

Author(s)

Babak Naimi [e-mail]

http://biogeoinformatics.org

References

#

See Also

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Examples

# filename <- system.file('external/preds.grd',packages='sdmo')

# r <- brick(filename)
# s <- shapefile('pkg/sdm/inst/external/species.shp')
# d <- sdmData(s,r)
# m <- sdm(Occurrence~.,d,c('glm','brt','rf'))
# e <- ensemble(m,r,'test.grd')
# plot(e)

sdmo documentation built on May 2, 2019, 5:47 p.m.