rjitter.lpp {spatstat.linnet}

Random Perturbation of a Point Pattern on a Network

Description

Applies independent random displacements to each point in a point pattern on a network.

Usage

## S3 method for class 'lpp'
rjitter(X, radius, ..., nsim = 1, drop = TRUE)

Arguments

X

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

radius

Scale of perturbations. A positive numerical value. Each point will be displaced by a random distance, with maximum displacement equal to this value.

...

Ignored.

nsim

Number of simulated realisations to be generated.

drop

Logical. If nsim=1 and drop=TRUE (the default), the result will be a point pattern, rather than a list containing a point pattern.

Details

The function rjitter is generic. This function is the method for the class "lpp" of point patterns on a linear network.

Each of the points in X will be displaced along the network by a random amount, independently of other points. The maximum displacement distance is specified by radius. Each point remains on the same line segment of the network as it originally was.

Value

A point pattern on a linear network (object of class "lpp") or a list of such point patterns.

Author(s)

Adrian Baddeley [e-mail], Rolf Turner [e-mail] and Ege Rubak [e-mail].

See Also

rjitter for point patterns in two dimensions.

Examples

   X <- runiflpp(3, simplenet)
   plot(X, pch=16)
   Y <- rjitter(X, 0.1)
   plot(Y, add=TRUE, cols=3)