It probably means that you have a spatial trend in your data.
Remove any trend, then try again.

Dan Bebber

Department of Plant Sciences
University of Oxford
South Parks Road
Oxford OX1 3RB
UK
Tel. 01865 275000



> -----Original Message-----
> From: Jose Luis Gomez Dans [mailto:[EMAIL PROTECTED] 
> Sent: 03 November 2004 16:19
> To: [EMAIL PROTECTED]
> Subject: [ai-geostats] Understanding variograms
> 
> 
> Hi all,
> I'm new to the list, so bear with me :)
> I'm trying to carry out some kriging of some (x,y,v)
> data set on to a 
> regular grid.  I have read some of the literature, and
> I think that 
> this would be a good option (I have also examined the possibility of 
> interpolating using a TIN, but I feel a bit more
> "safe" using a 
> statistical approach!). 
> 
> In order to do my kriging, I need to have a model 
> semi-variogram, and I 
> thought about using gstat for this (from the command
> line, no R 
> interfaces, my files are just ASCII (x,y,z) triplets).
> Given that my 
> data files are huge (of the order of millions of
> points), I selected a 
> region of interest, and tried to produce a sample 
> semi-variogram, with 
> views to fitting a model. 
> 
> In gstat, I got something that resembles y=exp(x),
> which looks 
> distinctly wrong. The semivariogram value is ever
> increasing, and does 
> not reach a sill at all. This is strange, and rather 
> unexpected. I have 
> tried doing a log transform of the data, but the shape
> of the curve is 
> mostly unchanged. 
> 
> I would be very grateful if anyone could shed any
> light on what this 
> variogram means, how I could make progress modelling
> it and so on.
> 
> Many thanks!
> Jos�
> 
> -- 
> Jose L Gomez-Dans, Research Assistant
> Bristol Glaciology Centre, Geographical Sciences/CPOM 
> University of Bristol, Bristol, UK
> 
> 
> 
>       
>       
>               
> ___________________________________________________________ALL
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