विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| को-क्रीगिंग: बहुभिन्नरूपी भूसांख्यिकीय अंतर्वेशन× | यूनिवर्सल क्रिगिंग (प्रवृत्ति के साथ क्रिगिंग)× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1965-1978 | 1969 |
| प्रवर्तक≠ | Matheron, G.; extended by Journel & Huijbregts | Georges Matheron |
| प्रकार≠ | Geostatistical interpolation | Geostatistical interpolation with spatial trend |
| मौलिक स्रोत≠ | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| उपनाम | cokriging, co-regionalization kriging, multivariate kriging, CK | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| संबंधित≠ | 5 | 3 |
| सारांश≠ | Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest. | Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances. |
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