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