rpoislpp

From spatstat v1.41-1 by Adrian Baddeley

Poisson Point Process on a Linear Network

Generates a realisation of the Poisson point process with specified intensity on the given linear network.

Keywords: spatial, datagen

Usage

rpoislpp(lambda, L, ..., nsim=1)

Arguments

lambda: Intensity of the Poisson process. A single number, a function(x,y), a pixel image (object of class "im"), or a vector of numbers, a list of functions, or a list of images.
L: A linear network (object of class "linnet", see linnet). Can be omitted in some cases: see Details.
...: Arguments passed to rpoisppOnLines.
nsim: Number of simulated realisations to generate.

Details

This function uses rpoisppOnLines to generate the random points.

Argument L can be omitted, and defaults to as.linnet(lambda), when lambda is a function on a linear network (class "linfun") or a pixel image on a linear network ("linim").

Value

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

Examples

X <- rpoislpp(5, simplenet)
   plot(X)
   # multitype
   X <- rpoislpp(c(a=5, b=5), simplenet)

Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)

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