An experimental comparison of ordinary and universal kriging and inverse distance weighting

A factorial, computational experiment was conducted to compare the spatial interpolation accuracy of ordinary and universal kriging and two types of inverse squared-distance weighting. The experiment considered, in addition to these four interpolation methods, the effects of four data and sampling c...

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Bibliographic Details
Published in:Mathematical geology 1999-05, Vol.31 (4), p.375-390
Main Authors: ZIMMERMAN, D, PAVLIK, C, RUGGLES, A, ARMSTRONG, M. P
Format: Article
Language:English
Subjects:
Earth sciences
Earth, ocean, space
Exact sciences and technology
General geology
Interpolation
Noise levels
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Summary:A factorial, computational experiment was conducted to compare the spatial interpolation accuracy of ordinary and universal kriging and two types of inverse squared-distance weighting. The experiment considered, in addition to these four interpolation methods, the effects of four data and sampling characteristics: surface type, sampling pattern, noise level, and strength of small-scale spatial correlation. Interpolation accuracy was measured by the natural logarithm of the mean squared interpolation error. Main effects of all five factors, all two-factor interactions, and several three-factor interactions were highly statistically significant. Among numerous findings, the most striking was that the two kriging methods were substantially superior to the inverse distance weighting methods over all levels of surface type, sampling pattern, noise, and correlation.[PUBLICATION ABSTRACT]
ISSN:0882-8121
1874-8961
1573-8868
1874-8953
DOI:10.1023/a:1007586507433