R: Plot a fitted cluster point process

plot.kppm {spatstat.core} | R Documentation

## Plot a fitted cluster point process

### Description

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

### Usage

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

### Arguments

`x` | Fitted cluster point process model. An object of class `"kppm"`.
`...` | Arguments passed to `plot.ppm` and `plot.fv` to control the plot.
`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.

### Details

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.

### Value

Null.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

Rolf Turner r.turner@auckland.ac.nz

and Ege Rubak rubak@math.aau.dk

### See Also

`kppm`, `plot.ppm`,

### Examples

      data(redwood)
      fit <- kppm(redwood~1, "Thomas")
      plot(fit)

[Package spatstat.core version 1.65-5 Index]