"plot"(x, ..., what=c("intensity", "statistic", "cluster"), pause=interactive(), xname)
"kppm"
.
x
for use in the title of the plot.
plot
for the class "kppm"
of fitted
cluster point process models.
The argument x
should be a cluster point process model
(object of class "kppm"
) obtained using
the function kppm
. The choice of plots (and the order in which they are
displayed) is controlled by the argument what
.
The options (partially matched) are "intensity"
,
"statistic"
and "cluster"
.
This command is capable of producing three different plots:
plot.ppm
. By default this plot
is not produced for stationary models.
plot.fv
. This is
only meaningful if the model has been fitted using the Method of
Minimum Contrast, and it is turned off otherwise.
clusterfield
and plotted by
plot.im
. It is only meaningful for Poisson cluster
(incl. Neyman-Scott) processes, and it is turned off for
log-Gaussian Cox processes (LGCP). If the model is stationary (and
non-LGCP) this option is turned on by default and shows a fitted
cluster positioned at the centroid of the observation window. For
non-stationary (and non-LGCP) models this option is only invoked if
explicitly told so, and in that case an additional argument
locations
(see clusterfield
) must be given to
specify where to position the parent point(s) .Alternatively what="all"
selects all available options.
kppm
,
plot.ppm
,
data(redwood)
fit <- kppm(redwood~1, "Thomas")
plot(fit)
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