Isobel wrote:
.....The semi-variogram and kriging techniques are not affected by
clustering.
> In fact, one of the main reasons for inventing kriging
> was to make full use of every one of clustered and/or
> preferentially sited sampling.
>
>
I am slightly confused:
... if sampling is clustered preferentially in e.g. higher values
areas, would this not bias the semi-variogram for the first few lags?...at
least if, as it can happen, the variance is related to the mean.
What about the effects of the possible over-estimation of the global
mean due to clustering?
thanks
Alessandro Gimona
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