RandomFields (version 3.1.12)

RMiaco: 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

References

• de Cesare, L., Myers, D.E., and Posa, D. (2002) FORPRAN programs for space-time modeling.Computers & Geosciences28, 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
StartExample()
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))
FinalizeExample()