On Thursday, December 6, 2001, at 04:12  AM, Michael Dennis wrote:
>
> I don't think this is right but if you can explain to me how the Drift 
> is
> actually applied in laymans terms it would be greatly appreciated.  Also
> when you do kriging with external drift do you have to model a 
> variogram or
> can a reasonable one be computed automatically, if so how would you 
> compute
> it?

Kriging with an external drift is just an extension of universal kriging.
UK assumes that one knows the shape of the trend but not its
magnitude (or coefficients). For example a linear drift could be modeled
by Mean = a + bX + cY where X and Y are the coordinates of the data.
And so on and so forth for higher order polynomial trends.

In KED, the trend shape is not defined analytically; rather, it is 
assumed that
it is defined explicitly at all locations based on some densely sampled
secondary variable. However, such a secondary variable must be
smoothly varying in space, and also it must be available at all locations
of the primary data and the locations being estimated.

As in UK, the magnitude of the trend is unimportant, it is the shape
that we're interested in. An external drift that varies linearly with X 
and
Y would be equivalent to UK with an analytical trend of the same
order polynomial, i.e. 1.

Regards,

Syed
Maersk Copenhagen


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