papers.S10: On some covariance models based on normal scale mixtures

Description References Examples

Description

Here, the code of the paper on ‘On some covariance models based on normal scale mixtures’ is given.

References

Examples

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

### Example 10 in Schlather (2010).
## The field below has more than 80 million points. So the simulation
## takes a while
y <- x <- seq(0, 10, len=256) ## currently does not work
T <- c(0, 0.02, 1275)
col <- c(topo.colors(300)[1:100], cm.colors(300)[c((1:50) * 2,
         101:150)])

y <- x <- seq(0, 10, len=5)
T <- c(0, 0.02, 4)

model <- RMcoxisham(mu=c(1, 1), D=matrix(nr=2, c(1, 0.5, 0.5, 1)),
                    RMwhittle(nu=1))
z <- RFsimulate(model, x, y, T=T, sp_lines=1500, every=10)
plot(z, MARGIN.slices=3, col=col)
plot(z, MARGIN.movie=3) # add 'file="ci.avi"' to get it stored

RandomFields documentation built on Feb. 6, 2020, 5:13 p.m.