| RMintexp {RandomFields} | R Documentation |
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)
RMintexp(phi, var, scale, Aniso, proj)
phi |
a variogram |
var,scale,Aniso,proj |
optional arguments; same meaning for any
|
RMintexp returns an object of class RMmodel.
Martin Schlather, schlather@math.uni-mannheim.de
Schlather, M. (2012) Construction of covariance functions and unconditional simulation of random fields. Lecture Notes in Statistics, Proceedings, 207, 25–54.
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))