مقایسهٔ روشها
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| کو-کرایجینگ جهانی× | کریجینگ معمولی× | |
|---|---|---|
| حوزه | تحلیل فضایی | تحلیل فضایی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 1982 | 1963 |
| پدیدآور≠ | Matheron (geostatistics framework); formalized for multivariate case by Myers (1982) | Georges Matheron (formalising D.G. Krige's empirical work) |
| نوع≠ | Multivariate geostatistical interpolation | Geostatistical interpolation |
| منبع بنیادین≠ | Myers, D. E. (1982). Matrix formulation of co-kriging. Journal of the International Association for Mathematical Geology, 14(3), 249–257. DOI ↗ | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266. DOI ↗ |
| نامهای دیگر | global cokriging, co-kriging, cokriging, multivariate kriging | OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor |
| مرتبط | 4 | 4 |
| خلاصه≠ | Global Co-Kriging is a multivariate geostatistical interpolation method that estimates an unsampled primary variable by exploiting its spatial cross-correlation with one or more secondary variables. Unlike local (moving-window) approaches, it fits a single set of variogram and cross-variogram models to the entire study domain and solves one global cokriging system for each prediction location. | 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. |
| ScholarGateمجموعهداده ↗ |
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