R: plot a Fitted Multiple Point Process Model

plot.mppm {spatstat}

R Documentation

plot a Fitted Multiple Point Process Model

Description

Given a point process model fitted to multiple point patterns by mppm, compute spatial trend or conditional intensity surface of the model, in a form suitable for plotting, and (optionally) plot this surface.

Usage

  ## S3 method for class 'mppm'
plot(x, ..., trend = TRUE, cif = FALSE,
                  how="image")

Arguments

`x`	A point process model fitted to multiple point patterns, typically obtained from the model-fitting algorithm `mppm`. An object of class `"mppm"`.
`...`	Arguments passed to `plot.ppm` or `plot.listof` controlling the plot.
`trend`	logical flag; if `TRUE`, the spatial trend surface will be produced.
`cif`	logical flag; if `TRUE`, the conditional intensity surface will be produced.
`how`	character string vector indicating the style of plot to be performed.

Details

This is the plot method for the class "mppm" of point process models fitted to multiple point patterns (see mppm).

It invokes subfits to compute the fitted model for each individual point pattern dataset, then calls plot.ppm to plot these individual models. These individual plots are displayed using plot.listof, which generates either a series of separate plot frames or an array of plot panels on a single page.

Value

NULL.

Author(s)

Adrian Baddeley adrian.baddeley@uwa.edu.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner rolf@math.unb.ca http://www.math.unb.ca/~rolf