Plots a fitted cluster point process model, displaying the fitted intensity and the fitted \(K\)-function.

```
# S3 method for kppm
plot(x, …,
what=c("intensity", "statistic", "cluster"),
pause=interactive(),
xname)
```

x

Fitted cluster point process model.
An object of class `"kppm"`

.

what

Character vector determining what will be plotted.

pause

Logical value specifying whether to pause between plots.

xname

Optional. Character string. The name of the object `x`

for use in the title of the plot.

Null.

This is a method for the generic function
`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:

- what="intensity"
specifies the fitted intensity of the model, which is plotted using

`plot.ppm`

. By default this plot is not produced for stationary models.- what="statistic"
specifies the empirical and fitted summary statistics, which are plotted using

`plot.fv`

. This is only meaningful if the model has been fitted using the Method of Minimum Contrast, and it is turned off otherwise.- what="cluster"
specifies a fitted cluster, which is computed by

`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.

# NOT RUN { data(redwood) fit <- kppm(redwood~1, "Thomas") plot(fit) # }