spatstat.linnet (version 3.5-0)

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, ex=NULL)

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.

Details

A random number of random points is generated on the network L, according to a Poisson point process with intensity lambda points per unit length. The random points are generated by rpoisppOnLines. See the help file for rpoisppOnLines for information.

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").

If ex is given, then it serves as an example for determining lambda and L. The default value of lambda will be the average intensity (number per unit length) of points in ex (or the average intensity of the points of each type if ex is multitype). The default value of L will be the network on which ex is defined.

See Also

rpoisppOnLines, runiflpp, rlpp, lpp, linnet.

Examples

   X <- rpoislpp(5, simplenet)
   plot(X)
   # multitype
   Y <- rpoislpp(c(a=5, b=5), simplenet)
   # using argument 'ex' to make a pattern like 'X'
   Z <- rpoislpp(ex=X)