rpoistpp {stlnpp}

Simulating one-dimensional Poisson point patterns

Description

This function simulates realisations of an one-dimensional Poisson point process.

Usage

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

Arguments

lambda

intensity of the point process. it can be either a number, a function of location and time, or an object of class tppint

a

lower bound of time period

b

upper bound of time period

check

logical value indicating whether to check that all the (x,y) points lie inside the specified time period.

lmax

upper bound for the values of labmda. this is optional

nsim

number of simulated patterns to generate

Details

This function generates realisations of a temporal poisson point process based on a given intensity function lambda and lower/upper bounds a and b.

Value

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

Author(s)

Mehdi Moradi <[e-mail]>

References

Moradi, M., & Mateu, J. (2020). First-and second-order characteristics of spatio-temporal point processes on linear networks. Journal of Computational and Graphical Statistics, 29(3), 432-443.

See Also

rpoistlpp

Examples

 
f <- function(t){0.1*exp(t)}
X <- rpoistpp(f,a=1,b=10)