Output module. Predict a model across a new area or time period.

PredictNewRasterMap(.model, .ras, newraster = .ras,
  extent = as.vector(.ras@extent), plot = TRUE, ...)

Arguments

.model
Internal parameter, do not use in the workflow function. .model is list of a data frame (data) and a model object (model). .model is passed automatically in workflow, combining data from the model module(s) and process module(s), to the output module(s) and should not be passed by the user.
.ras
Internal parameter, do not use in the workflow function. .ras is a raster layer, brick or stack object. .ras is passed automatically in workflow from the covariate module(s) to the output module(s) and should not be passed by the user.
newraster
Raster* object to make predictions onto.
extent
Numeric vector of length 4 giving (in this order) the min x, max x, min y, max y, the the new area to be mapped. Must be within the covariate data collected in the covariate module.
plot
Logical, if TRUE (default) the prediction map is plotted.
...
further arguments to be passed to plot.

Data type

presence-only, presence/absence, abundance, proportion

Version

1.0.1

See also

Other output: Appify, InteractiveCovariateMap, InteractiveMap, NoOutput, PerformanceMeasures, PrintMap, ROCcurve, ResponseCurveViz, ResponseCurve, SameTimePlaceMap, SeparatePA, SurfaceMap, VariableImportance

Author

Zoon developers (modified by F. Rodriguez-Sanchez), zoonproject@gmail.com