spatstat.linnet: runiflpp – R documentation

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runiflpp

Uniform Random Points on a Linear Network

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

runiflpp(n, L, nsim=1, drop=TRUE)

`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.

This function uses runifpointOnLines to generate the random points.

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.

data(simplenet)
   X <- runiflpp(10, simplenet)
   plot(X)
  # marked
   Z <- runiflpp(c(a=10, b=3), simplenet)

Linear Networks Functionality of the 'spatstat' Family

v2.1-1

GPL (>= 2)

Authors

Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Ottmar Cronie [ctb], Tilman Davies [ctb], Greg McSwiggan [ctb], Suman Rakshit [ctb]

Initial release

2021-03-28