Learn R Programming

RandomFields (version 3.0.5)

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

References

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

See Also

RMmodel, RFsimulate, RFfit.

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
model <- RMintexp(RMfbm(alpha=1.5, scale=0.2))
x <- seq(0, 10, if (interactive()) 0.02 else 1) 
plot(model)
plot(RFsimulate(model, x=x))
FinalizeExample()

Run the code above in your browser using DataLab