Hello everyone. I am more than new into R. Today I have started reading about grf function that is included in geoR package.
According the manual (vignette?) grf() generates (unconditional) simulations of Gaussian random fields for given covariance parameters. geoR2RF converts model specification used by geoR to the correponding one in RandomFields. I would like to use this function to fill in with valies a rasterlayer. According to the manual grf() returns a list Value grf returns a list with the components: coords an n x 2 matrix with the coordinates of the simulated data. data a vector (if nsim = 1) or a matrix with the simulated values. For the latter each column corresponds to one simulation. cov.model a string with the name of the correlation function. nugget the value of the nugget parameter. cov.pars a vector with the values of sigma^2 and phi, respectively. kappa value of the parameter kappa. lambda value of the Box-Cox transformation parameter lambda. aniso.pars a vector with values of the anisotropy parameters, if provided in the function call. method a string with the name of the simulation method used. sim.dim a string "1d" or "2d" indicating the spatial dimension of the simulation. .Random.seed the random seed by the time the function was called. messages messages produced by the function describing the simulation. call the function call. geoR2grf returns a list with the components: model RandomFields name of the correlation model param RandomFields parameter vector And this is exactly the point I do not get. In the example section of the same function I can find the following: sim1 <- grf(100, cov.pars = c(1, .25)) # a display of simulated locations and values points(sim1) How the function points() understand what to read exactly from the list? I would like tot hank you in advance for your replies Best Regards Alex ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.