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RandomFields (version 3.1.12)

Max-stable random fields: Simulation of Max-Stable Random Fields

Description

Here, a list of models and methods for simulating max-stable random fields is given.

See also maxstableAdvanced for more advanced examples.

Arguments

Implemeted models and methods

Models ll{ RPbrownresnick Brown-Resnick process using an automatic choice of the below 3 RPbr* methods RPopitz extremal t process RPschlather extremal Gaussian process RPsmith M3 processes }

Methods ll{ RPbrmixed simulation of Brown-Resnick processes using M3 representation RPbrorig simulation of Brown-Resnick processes using the original definition RPbrshifted simulation of Brown-Resnick processes using a random shift }

References

  • Kabluchko, Z., Schlather, M. & de Haan, L (2009) Stationary max-stable random fields associated to negative definite functionsAnn. Probab.37, 2042-2065.
  • Schlather, M. (2002) Models for stationary max-stable random fields.Extremes5, 33-44.
  • Smith, R.L. (1990) Max-stable processes and spatial extremes Unpublished Manuscript.

See Also

RP, RMmodel, RPgauss, RPbernoulli maxstableAdvanced

Examples

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

### currently not programmed

\dontrun{ ## to do !!
model <- RMfbm(alpha=1.5)
x <-  seq(0, 8, 0.02)
z <- RFsimulate(RPbrownresnick(model), x=x, n=4)
plot(z)
}







\dontshow{
## to do : seq(0, 10, 0.02) oben ist furchtbar langsam. Warum?
}

\dontshow{
model <- RMball()
x <- seq(0, 10, 5) # nice for   x <- seq(0, 10, 0.02)
z <- RFsimulate(RPsmith(model, xi=0), x, n=1000, every=1000)
plot(z)
hist(unlist(z@data), 150, freq=FALSE) #not correct; to do; sqrt(2) wrong
curve(exp(-x) * exp(-exp(-x)), from=-3, to=8, add=TRUE, col=3)
}

model <- RMgauss()
x <- seq(0, 10, 0.05)
z <- RFsimulate(RPschlather(model, xi=0), x, n=1000)
plot(z)
hist(unlist(z@data), 50, freq=FALSE)
curve(exp(-x) * exp(-exp(-x)), from=-3, to=8, add=TRUE)


## for some more sophisticated models see maxstableAdvanced
FinalizeExample()

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