View source: R/simulationbase.R
sim_nsprocess | R Documentation |
Simulation of the Neyman-Scott process. Only applicable if the intensity was estimated
for an appropriately enlarged window.
More details in sim_nsppp
.
sim_nsprocess(ppdata, intens, radius, clustering = 5, thinning = 0)
ppdata |
observed point pattern whose estimated intensity (adjusted for thinning and divided by "clustering") is used for simulating the parent process |
intens |
estimated intensity |
radius |
radius of the circles around the parent points in which the cluster points are located (Maximum radius of a random cluster) |
clustering |
a value larger or equal 1 which describes the amount of clustering; the adjusted estimated intensity of the observed pattern is divided by this value; it is also the parameter of the Poisson distribution for the number of points per cluster |
thinning |
constant thinning probability (in case the observed pattern is a thinned version of a full pattern); usually equal to the probability of having unobserved events |
The simulated point pattern (an object of class "ppp").
Additionally, some intermediate results of the simulation are returned as
attributes of this point pattern: see rNeymanScott
.
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