rpoistlpp: Simulating spatio-temporal poisson point processes on a...

In stlnpp: Spatio-Temporal Analysis of Point Patterns on Linear Networks

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)

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.

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.

Value

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

Author(s)

Mehdi Moradi <[e-mail]>

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

stlnpp documentation built on Nov. 11, 2022, 9:11 a.m.