Generate one (or several) realisation(s) of a spatio-temporal point process in a region \(S\times T\).
sim.stpp(class="poisson", s.region, t.region, npoints=NULL,
nsim=1, ...)A list containing:
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.
Parameters passed in argument.
Must be chosen among "poisson", "cluster", "cox", "infectious" and "inhibition".
Two-column matrix specifying polygonal region containing
all data locations.
If s.region is missing, the unit square is considered.
Vector containing the minimum and maximum values of
the time interval.
If t.region is missing, the interval \([0,1]\) is considered.
Number of points to simulate.
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.
Edith Gabriel <edith.gabriel@inrae.fr>
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.