RMiaco {RandomFields}

R Documentation

Iaco-Cesare model

Description

The space-time covariance function is

C(r,t) = (1.0 + r^\nu + t^\lambda)^\delta

Usage

RMiaco(nu, lambda, delta, var, scale, Aniso, proj)

Arguments

nu, lambda	number in (0,2]
delta	positive number
var, scale, Aniso, proj	optional arguments; same meaning for any RMmodel. If not passed, the above covariance function remains unmodified.

Value

RMiaco returns an object of class RMmodel.

Author(s)

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

References

• de Cesare, L., Myers, D.E., and Posa, D. (2002) FORPRAN programs for space-time modeling. Computers \& Geosciences 28, 205-212.

• de Iaco, S.. Myers, D.E., and Posa, D. (2002) Nonseparable space-time covariance models: some parameteric families. Math. Geol. 34, 23-42.

See Also

RMmodel.

Examples

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

model <- RMiaco(nu=1, lambda=1.5, delta=0.5)
plot(model, dim=2)

x <- seq(0, 10, 0.1)
plot(RFsimulate(model, x=x, y=x))

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