Description Usage Arguments Details Value References See Also Examples
RMexp
is a stationary isotropic covariance model whose
corresponding covariance function only depends
on the distance r ≥ 0 between
two points and is given by
C(r) = exp(r).
1 
var,scale,Aniso,proj 
optional arguments; same meaning for any

This model is a special case of the Whittle covariance model (see RMwhittle
) if ν=0.5 and of the symmetric stable family (see RMstable
) if ν=1. Moreover,
it is the continuoustime analogue of the first order autoregressive time
series covariance structure.
The exponential covariance function is a normal scale mixture.
RMexp
returns an object of class RMmodel
.
Covariance model
Gelfand, A. E., Diggle, P., Fuentes, M. and Guttorp, P. (eds.) (2010) Handbook of Spatial Statistics. Boca Raton: Chapman & Hall/CRL.
Tail correlation function
Strokorb, K., Ballani, F., and Schlather, M. (2014) Tail correlation functions of maxstable processes: Construction principles, recovery and diversity of some mixing maxstable processes with identical TCF. Extremes, Submitted.
RMwhittle
,
RMstable
,
RMmodel
,
RFsimulate
,
RFfit
.
1 2 3 4 5 6 7 
Loading required package: sp
Loading required package: RandomFieldsUtils
Attaching package: ‘RandomFields’
The following object is masked from ‘package:RandomFieldsUtils’:
RFoptions
NULL
NOTE: simulation is performed with fixed random seed 0.
Set 'RFoptions(seed=NA)' to make the seed arbitrary.
New output format of RFsimulate: S4 object of class 'RFsp';
for a bare, but faster array format use 'RFoptions(spConform=FALSE)'.
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