rjitter.lpp: Random Perturbation of a Point Pattern on a Network

In spatstat.linnet: Linear Networks Functionality of the 'spatstat' Family

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)

\spatstatAuthors

.

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)

spatstat.linnet documentation built on Nov. 2, 2023, 6:10 p.m.