विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्थानीय सार्वभौमिक क्रिगिंग× | ऑर्डिनरी क्रिगिंग× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1969/1997 | 1963 |
| प्रवर्तक≠ | Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice | Georges Matheron (formalising D.G. Krige's empirical work) |
| प्रकार≠ | Spatial interpolation model | Geostatistical interpolation |
| मौलिक स्रोत≠ | Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266. DOI ↗ |
| उपनाम | local UK, local kriging with trend, local KED, local kriging with external drift | OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor |
| संबंधित≠ | 5 | 4 |
| सारांश≠ | Local Universal Kriging is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual, estimated using only nearby observations within a defined search neighborhood. It generalizes local ordinary kriging by explicitly modeling and removing a polynomial or covariate-driven drift before interpolating the residual surface. | Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point. |
| ScholarGateडेटासेट ↗ |
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