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).
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 continuous-time 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
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 max-stable processes: Construction principles, recovery and diversity of some mixing max-stable processes with identical TCF. Extremes, Submitted.
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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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