# rpoislpp

0th

Percentile

##### 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, 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.

runiflpp, rlpp, lpp, linnet

• rpoislpp
##### Examples
# NOT RUN {
X <- rpoislpp(5, simplenet)
plot(X)
# multitype
X <- rpoislpp(c(a=5, b=5), simplenet)
# }

Documentation reproduced from package spatstat, version 1.57-1, License: GPL (>= 2)

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