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problems with unconditional simulations (grf) in geoR 1.6.33-34 and RandomFields 2.0.4x
3 messages · Paulo Justiniano Ribeiro Jr, Laura Poggio
4 days later
Laura args(grf) im=grf(n=611*634,grid="reg", nx=611, ny=634, xlims=c(1, 611), ylims=c(1, 634), nugget=nug, cov.par=c(sill,range), mean=mean) image(im) will work for this PLease update both, geoR and RandomFields I'm also preparing a fix such that your original call will work as well best P.J. Paulo Justiniano Ribeiro Jr LEG (Laboratorio de Estatistica e Geoinformacao) Universidade Federal do Parana Caixa Postal 19.081 CEP 81.531-990 Curitiba, PR - Brasil Tel: (+55) 41 3361 3573 VOIP: (+55) (41) (3361 3600) 1053 1066 Fax: (+55) 41 3361 3141 e-mail: paulojus AT ufpr br http://www.leg.ufpr.br/~paulojus
On Fri, 13 May 2011, Laura Poggio wrote:
Dear all, I am trying to run gaussian unconditional simulation with spatial structure using the grf function of geoR, with the following code: library(geoR) a=c(1:611) b=c(1:634) gr=expand.grid(a,b) im=grf(661*634, grid=gr, nugget=nug, cov.par=c(sill,range), mean=mean) When using geoR version 1.6.32 (or older) with version 1.3.45 (or older) of RandomFields the results present an evident spatial structure. While using the same code with version 1.6.33 or 1.6.34 of GeoR and version 2.0.4x of RandomFields the resulting pattern is like pure random noise. I tried with different values for sill, range, nugget and mean, but the results are always without spatial structure. If needed, I can provide more information and figures for more visual examples. Any hints would be greatly appreciated. Thank you very much in advance Laura [[alternative HTML version deleted]]
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2 days later
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