R: Extract the Linear Network on which Spatial Data are Defined

domain.lpp {spatstat.linnet} | R Documentation

## Extract the Linear Network on which Spatial Data are Defined

### Description

Given a spatial object representing data on a linear network, extract the network.

### Usage

     ## S3 method for class 'lpp'
    domain(X, ...)

     ## S3 method for class 'lppm'
    domain(X, ...)

     ## S3 method for class 'linfun'
    domain(X, ...)

     ## S3 method for class 'lintess'
    domain(X, ...)

### Arguments

`X` | A spatial object representing data on a linear network. An object of class `"lpp"`, `"lppm"`, `"linfun"` or `"lintess"`.
`...` | Extra arguments. They are ignored by all the methods listed here.

### Details

The function `domain` is generic, with methods for many classes.

For a spatial object `X` `domain(X)` extracts the spatial domain in which `X` is defined.

For a two-dimensional object `X`, typically `domain(X)` is the same as `Window(X)`.

The exception is that, if `X` is a point pattern on a linear network (class `"lpp"`) or a point process model on a linear network (class `"lppm"`), then `domain(X)` is the linear network on which the points lie, while `Window(X)` is the two-dimensional window containing the linear network.

### Value

A linear network (object of class `"linnet"`).

### 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

`domain`, `Window`, `Frame`

### Examples

      domain(chicago)

[Package spatstat.linnet version 2.0-0 Index]