runiflpp

0th

Percentile

Uniform Random Points on a Linear Network

Generates \(n\) random points, independently and uniformly distributed, on a linear network.

Keywords
spatial, datagen
Usage
runiflpp(n, L, nsim=1, drop=TRUE)
Arguments
n

Number of random points to generate. A nonnegative integer, or a vector of integers specifying the number of points of each type.

L

A linear network (object of class "linnet", see linnet).

nsim

Number of simulated realisations to generate.

drop

Logical value indicating what to do when nsim=1. If drop=TRUE (the default), the result is a point pattern. If drop=FALSE, the result is a list with one entry which is a point pattern.

Details

This function uses runifpointOnLines to generate the random points.

Value

If nsim = 1 and drop=TRUE, a point pattern on the linear network, i.e.\ an object of class "lpp". Otherwise, a list of such point patterns.

See Also

rlpp for non-uniform random points; rpoislpp for Poisson point process;

lpp, linnet

Aliases
  • runiflpp
Examples
# NOT RUN {
   data(simplenet)
   X <- runiflpp(10, simplenet)
   plot(X)
  # marked
   Z <- runiflpp(c(a=10, b=3), simplenet)
# }
Documentation reproduced from package spatstat, version 1.55-1, License: GPL (>= 2)

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