Annelies

I hope I do not offend anyone on the list by answering
this question. Anyone who does not have the book can
download it free of charge from
http://uk.geocities.com/drisobelclark/practica.htm

Chapter 4 is dedicated to explaining the concept of
the estimation variance. In the 'old days' when this
book was written, it was felt to be simpler to use
examples where all samples were weighted equally to
get over the concepts of calculating the "extension
variance". Only when this was established did we
introduce the concept of different weights for each
sample. This, then, leads to the development of
kriging. You will find this approach in all of the
early textbooks and course notes.

In Practical Geostatistics, Chapter 5 starts "Let us
turn, now, to a much more common, and probably more
realistic, approach to the estimation............"

I admit that Chapter 5 is very brief, but if you take
the terms calculated in all of the examples in Chapter
4, you can arrange them in the kriging system and se
what weights the samples should have. You will then
see that the 'optimal' weighting will be different for
different length samples.

Isobel
http://geoecosse.bizland.com/seasonsgreetings.htm






 --- Annelies Govaerts
<[EMAIL PROTECTED]> wrote: 
> I have a question about an excercise I found in
> "Practical 
> geostatistics" (Isobel Clark).
> In chapter 4 they look at the estimation variance of
> some, theoretical, 
> examples.
> One of the examples is a 2D panel (30m at 40m). They
> use the average 
> grade of two drives, (one along the side of 30 m en
> one along the side 
> of 40m) to estimate the value inside the panel. (for
> those who has a 
> texbook the excercise is on pages 80-84).
> 
> I found it a bit strange to use samples with
> different lengths? And why 
> doesn't they get different weights in the formula
> for the estimation 
> variance?
> So even when you have a more extreme case where you
> have a 1m by 40 m 
> panel you should not taking in account this
> difference in length of the 
> two drives?
> 
> Thanks,
> Annelies
> 
> 
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