sim.stpp: Generate spatio-temporal point patterns

In stpp: Space-Time Point Pattern Simulation, Visualisation and Analysis

Generate spatio-temporal point patterns

Description

Generate one (or several) realisation(s) of a spatio-temporal point process in a region S\times T.

Usage

sim.stpp(class="poisson", s.region, t.region, npoints=NULL, 
nsim=1, ...)

Arguments

class	Must be chosen among "poisson", "cluster", "cox", "infectious" and "inhibition".
s.region	Two-column matrix specifying polygonal region containing all data locations. If s.region is missing, the unit square is considered.
t.region	Vector containing the minimum and maximum values of the time interval. If t.region is missing, the interval [0,1] is considered.
npoints	Number of points to simulate.
nsim	Number of simulations to generate. Default is 1.
...	Additional parameters related to the class parameter. See rpp for the Poisson process; rpcp for the Poisson cluster process; rlgcp for the Log-Gaussian Cox process; rinter for the interaction (inhibition or contagious) process and rinfec for the infectious process.

Value

A list containing:

xyt	Matrix (or list of matrices if nsim>1) containing the points (x,y,t) of the simulated point pattern. xyt (or any element of the list if nsim>1) is an object of the class stpp.
s.region, t.region	Parameters passed in argument.

Author(s)

Edith Gabriel <[e-mail]>

See Also

rpp, rinfec, rinter, rpcp and rlgcp for the simulation of Poisson, infectious, interaction, Poisson cluster and log-gaussian Cox processes respectively; and plot.stpp, animation and stan for plotting space-time point patterns.

stpp documentation built on June 28, 2024, 9:11 a.m.