Here, all classes of random fields are described that can be simulated.
|Gaussian Random Fields||see Gaussian|
|Max-stable Random Fields||see Maxstable|
|Other Random Fields||Binary field|
|composed Poisson (shot noise, random coin)|
RC, RR, RM, RF, R.
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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 x <- seq(0, 10, 0.1) model <- RMexp() ## a Gaussian field with exponential covariance function z <- RFsimulate(model, x) plot(z) ## a binary field obtained as a thresholded Gaussian field b <- RFsimulate(RPbernoulli(model), x) plot(b) sum( abs((z@data$variabl1 >=0 ) - b@data$variable1)) == 0 ## TRUE, ## i.e. RPbernoulli is indeed a thresholded Gaussian process
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