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 with macroseismic effects of historical earthquakes. Since these data are sparse (and scarce and scattered..!) by definition, this algorithm effectively pursues aligned pattern in the dataset.
Hope this may help...
Ciao and best regards,
Umberto
Gali Sirkis wrote:
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 between original and
external data, however mostly probable is not an
error, but might represent different combination of
data properties. Is there is any chance to use this outlying point?
Does is sound feasible for you as specialists in
statistical analysis to use the kriging method in this
case?
Many thanks in advance for your help,
Gali Sirkis
__________________________________
--
Umberto Fracassi
-------------------------------------------------------- Istituto Nazionale di Geofisica e Vulcanologia Via di Vigna Murata, 605 00143 Roma Italy Tel: +39-06-51860557 Fax: +39-06-5041181 Email: [EMAIL PROTECTED] WWW: http://www.ingv.it/paleo/fracassi/ -------------------------------------------------------- ********************* "This is what you should do: Love the earth and the sun and the animals, despise riches, give alms to everyone that asks, stand up for the stupid and crazy, devote your income and labor to others, hate tyrants, argue not concerning god, have patience and indulgence toward people, take off your hat to nothing known or unknown, or to anyone or number of people ....reexamine all you have been told at school or church, or in any book, dismiss what insults your soul, and your very flesh shall be a great poem."
Walt Whitman *********************
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