R: Extract Original Data from a Fitted Point Process Model on a...

data.lppm {spatstat.linnet} | R Documentation

## Extract Original Data from a Fitted Point Process Model on a Network

### Description

Given a fitted point process model on a linear network, this function extracts the original point pattern dataset to which the model was fitted.

### Usage

      data.lppm(object)

### Arguments

`object` | fitted point process model on a linear network (an object of class `"lppm"`).

### Details

An object of class `"lppm"` represents a point process model that has been fitted to a point pattern dataset on a linear network. It is typically produced by the model-fitting algorithm `lppm`. The object contains complete information about the original data point pattern to which the model was fitted. This function extracts the original data pattern.

### Value

A point pattern on a linear network (object of class `"lpp"`).

### 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

`lppm`, `data.ppm`

### Examples

     fit <- lppm(spiders ~ x)
     X <- data.lppm(fit)
     # 'X' is identical to 'spiders'

[Package spatstat.linnet version 2.0-0 Index]