Re: AI-GEOSTATS: Regression slope in kriging
> 1.Kriging is often cited as least squares regressionSimple kriging as invented by Danie Krige in the
1950's was exactly a linear regression method. The
'kriging' system has a 'left-hand-side' consisting of
the variance/co-variance matrix between sample pairs
and a 'right-hand-side' consisting of the co-variances
between each sample and the unknown value. Krige
derived the variances and co-variances empirically
from 50 years of historical data.
In the early 1960s, Matheron's work put this on a
modelling (theoretical) footing by suggesting that the
co-cariances could be modelled by a function -- the
semi-variogram reversed. Thus the l.h.s became
co-variances or semi-variograms depending on your
personal preference and likewise the r.h.s.
However, Matheron also introduced the notion that the
weights should add up to one and invented 'ordinary'
kriging which is not (strictly) classical linear
> 2.I read in seveal papers that it is possible toAll explained in my 1983 paper 'regression revisited'
> calculate the slope of
> regression from parameters of the krigin system.
in Mathematical Geology. I can send you a copy if you
can't find it or you can download it from:
(note capital P)
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