RandomFields: RMintexp – R documentation

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RMintexp

Integral exponential operator

Description

RMintexp is a univariate stationary covariance model depending on a univariate variogram model phi. The corresponding covariance function only depends on the difference h between two points and is given by

C(h)=(1 - exp(-phi(h)))/phi(h)

Usage

RMintexp(phi, var, scale, Aniso, proj)

Arguments

`phi`	a variogram `RMmodel`
`var,scale,Aniso,proj`	optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

Value

RMintexp returns an object of class RMmodel.

Author(s)

Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/

References

Schlather, M. (2012) Construction of covariance functions and unconditional simulation of random fields. Lecture Notes in Statistics, Proceedings, 207, 25–54.

Examples

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

model <- RMintexp(RMfbm(alpha=1.5, scale=0.2))
x <- seq(0, 10, 0.02)
plot(model)
plot(RFsimulate(model, x=x))

RandomFields

Simulation and Analysis of Random Fields

v3.3.10

GPL (>= 3)

Authors

Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Brian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]

Initial release