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rpoislpp

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, drop=TRUE)

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

Author(s)

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

See Also

Examples

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

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

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