1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
|
\name{RMintexp}
\alias{RMintexp}
\title{Integral exponential operator}
\description{
\command{\link{RMintexp}} is a univariate stationary covariance model
depending on a univariate variogram model \eqn{\phi}{phi}.
The corresponding covariance function only depends on the difference
\eqn{h}{h} between two points and is given by
\deqn{C(h)=(1 - exp(-\phi(h)))/\phi(h)}{C(h)=(1 - exp(-phi(h)))/phi(h)}}
\usage{
RMintexp(phi, var, scale, Aniso, proj)
}
\arguments{
\item{phi}{a variogram \command{\link{RMmodel}}}
\item{var,scale,Aniso,proj}{optional arguments; same meaning for any
\command{\link{RMmodel}}. If not passed, the above
covariance function remains unmodified.}
}
%\details{}
\value{
\command{\link{RMintexp}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}.
}
\references{
\itemize{
\item Schlather, M. (2012)
Construction of covariance functions and unconditional simulation of
random fields.
\emph{Lecture Notes in Statistics, Proceedings}, \bold{207}, 25--54.
}
}
\me
\seealso{
\command{\link{RMmodel}},
\command{\link{RFsimulate}},
\command{\link{RFfit}}.
}
\keyword{spatial}
\keyword{models}
\examples{\dontshow{StartExample()}
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))
\dontshow{FinalizeExample()}}
|
