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| Надежден ко-кригинг× | Обикновено кърѝгиране× | |
|---|---|---|
| Област | Пространствен анализ | Пространствен анализ |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1993-1998 | 1963 |
| Създател≠ | Cressie, N. A. C.; Genton, M. G. | Georges Matheron (formalising D.G. Krige's empirical work) |
| Тип≠ | Robust spatial interpolation | Geostatistical interpolation |
| Основополагащ източник≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). John Wiley & Sons. Chapter 3 covers robust variogram estimation and co-kriging. ISBN: 978-0471002550 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266. DOI ↗ |
| Други названия | robust cokriging, outlier-resistant co-kriging, robust multivariate kriging, RCK | OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor |
| Свързани≠ | 3 | 4 |
| Резюме≠ | Robust Co-Kriging is a multivariate geostatistical interpolation method that jointly estimates values at unsampled locations using two or more spatially correlated variables, while applying robust estimators for the variogram and cross-variogram to limit the distorting influence of spatial outliers or non-Gaussian measurement errors. | 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. |
| ScholarGateНабор от данни ↗ |
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