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Last data update: 2014.03.03

R: Poisson Point Process on a Linear Network

rpoislpp

R Documentation

Poisson Point Process on a Linear Network

Description

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

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.

Author(s)

Ang Qi Wei aqw07398@hotmail.com and Adrian Baddeley Adrian.Baddeley@curtin.edu.au

Examples

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