Re: [R-sig-Geo] can we use georob package to make a 3D nested variogram?

Yes, you are right, only one nugget effect can be fitted. I fitted the variogram with one nugget, but still did not better than eye fitted. - Bingwei Ph.D. Student Kyoto University C-1-2-225, Katsura Campus, Kyoto University, Nishikyo-ku, 〒615-8530, Kyoto, Japan -- View this message in co

Re: [R-sig-Geo] can we use georob package to make a 3D nested variogram?

Thanks edzer, As you said , I hope it can choose the number of nested structures, at least keep the eyefitted number and the corresponding models automatically. But, for my case , the fit seems do noting except change the second Nug to 1. R:> uk.eye1 <- vgm(psill = 0.155, model = "Gau", range=

[R-sig-Geo] can we use georob package to make a 3D nested variogram?

Dear list, It seems only gstat can make a 3D nested variogram but can not auto fit it until now, . Recently I find georob is also a useful package to do 3D estimation with trend data, But I did not find the way to create a 3D nested variogram, Does anyone kown about this, or any other package for

[R-sig-Geo] What is the reason for Very high value by Universal Kriging based on Nested 3D varigram

Dear list, I am doing a 3D estimation of logtransfered subsurface temperature (with a strong vertical trend) with a Nested 3D variogram, but the results show very high value over than origin data. This is not normal and absolutely wrong if I back transfer logged data. I attached the

Re: [R-sig-Geo] Three-dimensional interpolation of temperature profiles using gstat?

Dear Edzer, I have a similar question related to sub-land-surface temperature profile data. You are absolutely right, the temperature changes faster in the vertical than in horizontal. In this case, Depper is hotter. And the trend usually linear due to conduction of temperature in vertical direct