R: Plot a fitted determinantal point process

plot.dppm {spatstat} | R Documentation

## Plot a fitted determinantal point process

### Description

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

### Usage

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

### Arguments

`x` | Fitted determinantal point process model. An object of class `"dppm"`.
`...` | Arguments passed to `plot.ppm` and `plot.fv` to control the plot.
`what` | Character vector determining what will be plotted.

### 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.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

and Rolf Turner r.turner@auckland.ac.nz

### See Also

`dppm`, `plot.ppm`,

### Examples

      fit <- dppm(swedishpines ~ x + y, dppGauss())
      plot(fit)

[Package spatstat version 1.63-3 Index]