RPpoisson: Simulation of Poisson Random Fields

Description Usage Arguments See Also Examples

View source: R/RMmodels.R

Description

Shot noise model, which is also called moving average model, trigger process, dilution random field, and by several other names.

Usage

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RPpoisson(phi, intensity)

Arguments

phi

the model, RMmodel, gives the shape function to be used

intensity

the intensity of the underlying stationary Poisson point process

See Also

RMmodel, RP, RPcoins.

Examples

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RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

# example 1: Posson field based on disks with radius 1
x <- seq(0,25, 0.02)
model <- RMball()
z <- RFsimulate(RPpoisson(model), x, intensity = 2)
plot(z)
par(mfcol=c(2,1))
plot(z@data[,1:min(length(z@data), 1000)], type="l")
hist(z@data[,1], breaks=0.5 + (-1 : max(z@data)))


# example 2: Poisson field based on the normal density function
# note that
# (i) the normal density as unbounded support that has to be truncated
# (ii) the intensity is high so that the CLT holds
x <- seq(0, 10, 0.01)
model <- RMtruncsupport(radius=5, RMgauss())
z <- RFsimulate(RPpoisson(model), x, intensity = 100)
plot(z)

RandomFields documentation built on Feb. 6, 2020, 5:13 p.m.