Dear list members,
Please advise what to do in following case:
The sparse dataset for kriging inlcudes only few
(5-6) original data points + interpolated external
data, that covering whole study area.
One of the original data points seems completly not to
fit to the main correlation line betwee
Hi Gali,
may you not try with Radial Basis Function (Multiquadric) instead of
kriging? It's meant to be an exact interpolator, although sometimes it
doesn't fully honor your data. However, it's based on the concept of
track data which seems to me to suit the issue you mention. I employ RBF
wit
Hi,
I am not sure i understood correctly your question. Fist of all, do
the interpolated data have come from your sparse data
interpolation? What method of interpolation did you use in this
case?
After Burrough and McDonnel, 2000, you need at least 50 points to
have reliable results through k
Hi Monica,
thanks for quick reply. The interpolated data is a
different data set with is by its nature (speaking
about geological properties) should be correlated with
the sparse one.
This is a geological data over not huge area - around
20x30 kilometers. It should have at least some spatial
corr
Thank you Umberto,
this definitely sounds as an interesting solution. Can
you advise something to read about this method?
thanks again,
Gali
--- Umberto Fracassi <[EMAIL PROTECTED]> wrote:
> Hi Gali,
>
> may you not try with Radial Basis Function
> (Multiquadric) instead of
> kriging? It's me
Gail
Sorry for not responding earlier to your request.
Your explanatory comment to Monica does not convince me
as a exploration and mining geologist. I think her comments are
wise and should be considered.
A 20x30 km area is a large one even when dealing with very
uniform geology. Even in such
