Re: AI-GEOSTATS: Observations with a known standard deviation
I presume what you have is a sort of 'analytical
error' for each sample? That is, the standard
deviation for two samples at the same location around
the 'true value' at the same location?
In this case, you can put the variance down the
diagonal of your kriging system to obtain optimal
weights under the uncertainty admitted for your data
You would need to be careful that the 'analytical
variance' was not greater than the nugget effect of
the semi-variogram model.
The kriging system would be similar to that obtained
when the sample is not treated as a 'point', but
rather as a volume. This results in a lower kriging
variance than using zero on the diagonal, so to
compensate you should probably add the complete
'analytical variance' back on to get realistic
There seems to be a lot of confusion in the books (and
software) about what happens if you have a significant
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