Plot a plotppm Object Created by plot.ppm
The function plot.ppm produces objects which specify plots of fitted point process models. The function plot.plotppm carries out the actual plotting of these objects.
## S3 method for class 'plotppm': plot(x, data = NULL, trend = TRUE, cif = TRUE, se = TRUE, pause = interactive(), how = c("persp", "image", "contour"), ..., pppargs)
- An object of class
- The point pattern (an object of class
ppp) to which the point process model was fitted (by
- Logical scalar; should the trend component of the fitted model be plotted?
- Logical scalar; should the complete conditional intensity of the fitted model be plotted?
- Logical scalar; should the estimated standard error of the fitted intensity be plotted?
- Logical scalar indicating whether to pause with a prompt
after each plot. Set
pause=FALSEif plotting to a file.
- Character string or character vector indicating the style or styles of plots to be performed.
- Extra arguments to the plotting functions
- List of extra arguments passed to
plot.pppwhen displaying the original point pattern data.
data is supplied then the point pattern will
be superimposed on the image and contour plots.
Sometimes a fitted model does not have a trend component, or the
trend component may constitute all of the conditional intensity (if
the model is Poisson). In such cases the object
x will not
contain a trend component, or will contain only a trend component.
This will also be the case if one of the arguments
cif was set equal to
FALSE in the call to
plot.ppm() which produced
x. If this is so then
only the item which is present will be plotted. Explicitly setting
cif=TRUE, respectively, will then give
Arguments which are passed to
contour via the ...argument get passed to any of the
other functions listed in the
how argument, and won't be
recognized by them. This leads to a lot of annoying but harmless
warning messages. Arguments to
persp may be supplied via
spatstat.options() which alleviates the warning
messages in this instance.
m <- ppm(cells ~ 1, Strauss(0.05)) mpic <- plot(m) # Perspective plot only, with altered parameters: plot(mpic,how="persp", theta=-30,phi=40,d=4) # All plots, with altered parameters for perspective plot: op <- spatstat.options(par.persp=list(theta=-30,phi=40,d=4)) plot(mpic) # Revert spatstat.options(op)