On 12/09/2014 02:13 PM, Bingwei Tian wrote:
> 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.
>
>
If your criterion for "better" is visual, then you must be right. If
your criterion involves minimis
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
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Well, yes, you can't fit two nuggets independently, can you? Either fix
one of them, or remove one of them. Note that these two are different
models, when it comes to fitting parameters:
> vgm(1, "Sph", 900)
model psill range
1 Sph 1 900
> vgm(1, "Sph", 900, 0)
model psill range
1 Nu
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=
On 12/05/2014 05:08 AM, Bingwei Tian wrote:
> Dear list,
> It seems only gstat can make a 3D nested variogram but can not auto fit it
> until now, .
?fit.variogram gives me
Description:
Fit ranges and/or sills from a simple or nested variogram model to
a sample variogram
Or do you m
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
