Plot a map of predicted surface.
PrintMap(.model, .ras, plot = TRUE, points = TRUE, dir = NULL, filename = NULL, size = c(480, 480), res = 72, ...)
.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 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.TRUE the plot will be displayed in the deviceTRUE the training points will be plotted over the prediction surfacedir and filename are NULL (default) then plots are
not saved.dir and filename are NULL (default) then plots are
not saved.xlab = 'Axis Label', main = 'My Plot Title'A Raster object giving the probabilistic model predictions for each cell of covariate raster layer
1.1
2016-04-02
Other output: Appify,
InteractiveCovariateMap,
InteractiveMap, NoOutput,
PerformanceMeasures,
PredictNewRasterMap,
ROCcurve, ResponseCurveViz,
ResponseCurve,
SameTimePlaceMap, SeparatePA,
SurfaceMap,
VariableImportance