RPpoisson

0th

Percentile

Simulation of Random Fields

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

Keywords
spatial
Usage
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

Aliases
  • RPpoisson
Examples
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)


Documentation reproduced from package RandomFields, version 3.1.36, License: GPL (>= 3)

Community examples

Looks like there are no examples yet.