Customer Reviews

Mining Geostatistics

5 star:		(2)
4 star:		(0)
3 star:		(1)
2 star:		(0)
1 star:		(1)

 

 

A pity this text has gone out of print if you are a student
or practitioner of geostatistics this book is a must have as a comprehensive guide to the subject written by the world leaders in this field. Buy now!

As I search for texts for learning geostatistics, this gentleman's standard rant appears everywhere, copied verbatim, as welcome as a stubborn pop-up ad. He seldom discusses the specifics of the book in question, rather, he just dismisses the whole field. Well as long as we're at that level, I'd remind him Kurt Godel showed that it is impossible using usual methods to be certain that the axioms of arithmetic will not lead to contradictions. So I guess we should can anything based on arithmetic. I wonder if he also haunts the theology book review pages touting the lack of empircal proof for god's existence? It would be better to post one's intellectual grudges elsewhere.

I have a look at it inside this book, and I saw thats cover an wide geostatistics subject.

Its Great!Mining Geostatistics

Professor D G Krige was working at the Witwatersrand gold reef complex in South Africa in the early 1950s when he discovered that two or more gold assays, determined in samples selected at positions with different coordinates in a finite sample space, give an infinite set of distance-weighted average gold grades. Professor Dr G Matheron was so pleased with Krige's convenient method to augment sparse data in large sample spaces that he himself conferred on Krige the honorific "krige" eponym. Krige, Matheron and scores of nascent geostatisticians did not know in those innovative days that every distance-weighted average has its own variance simply because one-to-one correspondence between weighted averages and variances is inviolable in mathematical statistics. On the contrary, statistically dysfunctional geostatistians decided to replace the true variance of the SINGLE distance-weighted average with the pseudo kriging variance of a SET of degrees-of-freedom and variance-deprived functionally dependent kriged estimates. It makes no scientific sense whatsoever to assume spatial dependence, interpolate by kriging, smooth pseudo kriging variances, and rig the rules of mathematical statistics. In time, nobody may remember when and why the distance-weighted average became a kriged estimate. And who said what's in a name?