# plot.dppm

##### Plot a fitted determinantal point process

Plots a fitted determinantal point process model, displaying the fitted intensity and the fitted summary function.

##### Usage

```
# S3 method for dppm
plot(x, ..., what=c("intensity", "statistic"))
```

##### Arguments

##### Details

This is a method for the generic function
`plot`

for the class `"dppm"`

of fitted
determinantal point process models.

The argument `x`

should be a determinantal point process model
(object of class `"dppm"`

) obtained using
the function `dppm`

.

The choice of plots (and the order in which they are
displayed) is controlled by the argument `what`

.
The options (partially matched) are `"intensity"`

and
`"statistic"`

.

This command is capable of producing two 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.

##### Value

Null.

##### See Also

##### Examples

```
# NOT RUN {
fit <- dppm(swedishpines ~ x + y, dppGauss())
plot(fit)
# }
```

*Documentation reproduced from package spatstat, version 1.49-0, License: GPL (>= 2)*