plot.plotppm
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.
- Keywords
- spatial
Usage
plot.plotppm(x, data = NULL, trend = TRUE, cif = TRUE, pause = TRUE,
how = c("persp", "image", "contour"), ...)
Arguments
- x
- An object of class
plotppm
produced byplot.ppm()
- data
- The point pattern (an object of class
ppp
) to which the point process model was fitted (by code{ppm()}). - trend
- Logical scalar; should the trend component of the fitted model be plotted?
- cif
- Logical scalar; should the complete conditional intensity of the fitted model be plotted?
- pause
- Logical scalar indicating whether to pause with a prompt
after each plot. Set
pause=FALSE
if plotting to a file. - how
- Character string or character vector indicating the style or styles of plots to be performed.
- ...
- Extra arguments to the plotting functions
persp
,image
andcontour
.
Details
If argument 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 trend
and 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
trend=TRUE
, or cif=TRUE
, respectively, will then give
an error.
Value
- None.
Warning
Arguments which are passed to persp
, image
, and
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.
See Also
plot.ppm()
Examples
data(cells)
Q <- quadscheme(cells)
m <- ppm(Q, ~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:
spatstat.options(par.persp=list(theta=-30,phi=40,d=4))
plot(mpic)