Colin
> Is my understanding of this "compensation" correct?
Exactly.
> Why wouldn't the weights for the furtherest samples
> be calculated by subtracting the weighting of the
> closer samples from 1, instead of compensating using
> negative weights afterwards?
I am not sure I understand your question.
Kriging weights are produced by a set of equations
which minimise the variance of the estimation error.
All of the weights are determined simultaneously and
negative weights can be produced in the solution of
the kriging equations. The condition on the weights is
that they sum to 1, not that they have to be positive.
Negative weights are usually an indication that your
data is clustered or that our search radius is larger
than it need be. Some packages will eliminate the
samples with negative weights and then re-solve the
kriging equations without them. Of course, you may
have to go round a few times as there is no guarantee
that the new set won't have negative weights ........
Isobel Clark
http:/uk.geocities.com/drisobelclark
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