sdmData: creating sdm Data object

In sdmo: Species Distribution Modelling (old version)

Description

Creates sdmData objects including species (single or multiple) and explanatory variates

Usage

sdmData(train, predictors, formula, test, filename, crs)

Arguments

train	training data including species observations as a (data.frame or SpatialPoints or SpatialPointsDataFrames)
predictors	explanatory variables (predictors), defined as a raster object (RasterStack or RasterBrick).
formula	optional, species and different types of explanatory variables (e.g., factor) as well as coordinates can be specified
test	independent test data
filename	filename of the sdm data object to store in the disk (not implemented)
crs	optional, coordinate reference system

Details

sdmData can be used to create data object, for single or multiple species data and returns a singleSpecies or multipleSpecis data object, respectively or a SpeciesDataList when ths multiple species the coordinates of species observations are not the sama. sdmData can automatically detect the variables contain species data (if train is data.frame), but in formula, the species names can be specifies in the left hand side. In the right hand side of the formula the coordinate columns (if train is data.frame), explanatory variables that should be used as well as the factors can be specified (see examples).

Value

an object of class singleSpecies or multipleSpecies or SpeciesDataList

Author(s)

Babak Naimi [e-mail]

http://biogeoinformatics.org

References

Naimi, B., Ara<c3><ba>jo, M.B. (2016) sdm: a reproducible and extensible R platform for species distribution modelling, Ecography, DOI: 10.1111/ecog.01881

See Also

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Examples

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