R: Plot a Fitted Point Process Model on a Linear Network

plot.lppm {spatstat} | R Documentation

## Plot a Fitted Point Process Model on a Linear Network

### Description

Plots the fitted intensity of a point process model on a linear network.

### Usage

      ## S3 method for class 'lppm'
    plot(x, ..., type="trend")

### Arguments

`x` | An object of class `"lppm"` representing a fitted point process model on a linear network.
`...` | Arguments passed to `plot.linim` to control the plot.
`type` | Character string (either `"trend"` or `"cif"`) determining whether to plot the fitted first order trend or the conditional intensity.

### Details

This function is the plot method for the class `"lppm"`. It computes the fitted intensity of the point process model, and displays it using `plot.linim`.

The default is to display intensity values as colours. Alternatively if the argument `style="width"` is given, intensity values are displayed as the widths of thick lines drawn over the network.

### Value

Null.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

### See Also

`lppm`, `plot.linim`, `methods.lppm`, `predict.lppm`.

### Examples

      X <- runiflpp(10, simplenet)
      fit <- lppm(X ~x)
      plot(fit)
      plot(fit, style="width")

[Package spatstat version 1.54-0 Index]