Dear Enzo, It is possible to calculate a
semivariogram for one-dimensional data with the same method used for two
dimensional (spatial) data. The problem arises in kriging because of the
string effect, in which the data points at the extreme end of the search window
are weighted too high. This can be corrected by modifying the kriging algorith
as described by Deutsch, 1993. Essentially, you wrap the search window around to
a “circle". I don’t know Idl, so I can’t help you with
those specifics. Deutsch, C.V., 1993. Kriging in a finite
domain. Mathematical Geology, 25: 41-52. I used the process to modify the GSLib
program to interpolate timeseries of groundwater levels, and it is described
in: Barabás, N. and P. Goovaerts. 2004.
Comparison of geostatistical algorithms for completing groundwater monitoring
well timeseries using data of a nearby river. In X. Sanchez-Vila, J. Carrera,
and J. Gomez-Hernandez, editors, geoENV IV - Geostatistics for Environmental
Applications. Kluwer Academic Publishers, Noémi From: vv [mailto:[EMAIL PROTECTED]
Hallo, I'm
new in this list, and I'm coping with a 2D interpolation. thanks
in advance |
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