Exponential Covariance Model
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).
RMexp(var, scale, Aniso, proj)
var,scale,Aniso,proj |
optional arguments; same meaning for any
|
The exponential covariance function is a normal scale mixture.
Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/
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 max-stable processes: Construction principles, recovery and diversity of some mixing max-stable processes with identical TCF. Extremes, Submitted.
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set ## RFoptions(seed=NA) to make them all random again model <- RMexp() x <- seq(0, 10, 0.02) plot(model) plot(RFsimulate(model, x=x))
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