predict: sdm model prediction

In sdmo: Species Distribution Modelling (old version)

Description

Make a Raster object with predictions from one or several fitted model in sdmModel object.

Usage

## S4 method for signature 'sdmModel'
predict(object, newdata, filename="", models,species=1,scenario,mean=FALSE,overwrite=TRUE, ...)

Arguments

object	sdmModel object
newdata	Raster* object, or data.frame
filename	character, output file name, if missing, a name starts with sdm_prediction will be generated
models	character, names of fitted models, e.g., glm, brt, etc.
species	character or numeric, specifies which species should be used if the object contains models for multiple species
scenario	character, specifies the names of partitioning scenarios,if missing, all available scenarios are considered
mean	logical, works if multiple runs for partitioning scenarios are used to fit the models, and specifies whether a mean should be calculated over all predictions
overwrite	logical, whether the filename should be overwriten it it does exist
...	additional arguments, as for writeRaster

Details

predict uses the fitted models in the sdmModel to generate the prediction given newdata. A raster (if newdata is Raster object) or data.frame (if newdata is data.frame) will be created.

Value

a Raster object or data.frame

Author(s)

Babak Naimi [e-mail]

http://biogeoinformatics.org

References

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See Also

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Examples

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