Man pages for BlasBenito/SDMworkshop
Streamlining the Development of Species Distribution Models

autoCorrelationDendrogramReduces multicollinearity automatically through repeated...
autoSelectVariablesAutomatic selection of predictive variables for species...
autoVIFAutomatic variable selection with variance inflation factor...
biserialCorrelationBiserial correlation analysis of presence and background data...
correlationDendrogramCorrelation dendrogram to help reduce multicollinearity in a...
dfFrom4DTransforms 4D object into a data frame
europe2000Predictive variables for Europe representing current times.
europe21kBPPredictive variables for Europe representing climatic...
import4DImports predictive variables defined for different times
importASCImports raster files in .asc format to a raster stack or...
importTIFImports raster files in .tif format (geotiff) to a raster...
makeVirtualSpeciesGenerates virtual species
pipePipe operator
plotUseAvailabilityPlots density functions of use versus availability from a...
plotVariablePretty plot of a raster file, and points if provided
prepareTrainingDataPrepares training data for SDMs
quercusDataframe with presence data of 8 Quercus species in Europe...
reduceSpatialCorrelationApplies "thinning" to a set of coordinates to reduce their...
SDMworkshop-packageSDMworkshop: Streamlining the Development of Species...
testSpatialCorrelationSpatial correlation of presence records over predictive...
virtualSpeciesNamed list describing a virtual species.
virtualSpeciesPBPresence and background data for a virtual species
weightPBComputes weights for presence and background records
BlasBenito/SDMworkshop documentation built on March 4, 2020, 4:16 a.m.