stlnpp (version 0.3.8)

rpoistlpp: Simulating spatio-temporal poisson point processes on a linear network

Description

simulating a realisation of a spatio-temporal poisson point process on a linear network.

Usage

rpoistlpp(lambda,a,b,L,check=FALSE,lmax=NULL,nsim=1)

Value

an object of class stlpp if nsim=1, otherwise a list of objects of class stlpp.

Arguments

lambda

intensity of the point process. It can be either a number, function of location and time, or an abject of class stlppint.

a

lower bound of time period.

b

upper bound of time period.

L

a linear network.

check

Logical value indicating whether to check that all the (x,y) points lie inside the specified window. see ppp.

lmax

upper bound for the values of labmda. This is optinal.

nsim

number of simulated patterns to generate.

Author

Mehdi Moradi <[e-mail]>

Details

This function generates realisations of a spatio-temporal poisson point process on a linear network based on an intensity function lambda and lower/upper bounds a and b.

References

Moradi, M.M. and Mateu, J. (2019). First and second-order characteristics of spatio-temporal point processes on linear networks. Journal of Computational and Graphical Statistics. In press.

See Also

density.stlpp

Examples

X <- rpoistlpp(.2,a=0,b=5,L=easynet)
X