R: Plot a Recursively Partitioned Point Process Model

plot.rppm {spatstat.core} | R Documentation

## Plot a Recursively Partitioned Point Process Model

### Description

Given a model which has been fitted to point pattern data by recursive partitioning, plot the partition tree or the fitted intensity.

### Usage

    ## S3 method for class 'rppm'
    plot(x, ..., what = c("tree", "spatial"), treeplot=NULL)

### Arguments

`x` | Fitted point process model of class `"rppm"` produced by the function `rppm`.
`what` | Character string (partially matched) specifying whether to plot the partition tree or the fitted intensity.
`...` | Arguments passed to `plot.rpart` and `text.rpart` (if `what="tree"`) or passed to `plot.im` (if `what="spatial"`) controlling the appearance of the plot.
`treeplot` | Optional. A function to be used to plot and label the partition tree, replacing the two functions `plot.rpart` and `text.rpart`.

### Details

If `what="tree"` (the default), the partition tree will be plotted using `plot.rpart`, and labelled using `text.rpart`.

If the argument `treeplot` is given, then plotting and labelling will be performed by `treeplot` instead. A good choice is the function `prp` in package rpart.plot.

If `what="spatial"`, the predicted intensity will be computed using `predict.rppm`, and this intensity will be plotted as an image using `plot.im`.

### Value

If `what="tree"`, a list containing `x` and `y` coordinates of the plotted nodes of the tree. If `what="spatial"`, the return value of `plot.im`.

### 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

`rppm`

### Examples

        # Murchison gold data
        mur <- solapply(murchison, rescale, s=1000, unitname="km")
        mur$dfault <- distfun(mur$faults)
        #
        fit <- rppm(gold ~ dfault + greenstone, data=mur)
        #
        opa <- par(mfrow=c(1,2))
        plot(fit)
        plot(fit, what="spatial")
        par(opa)

[Package spatstat.core version 2.4-4 Index]