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| Zwykłe Kriging× | Krygowanie uniwersalne (Krygowanie z trendem)× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1963 | 1969 |
| Twórca≠ | Georges Matheron (formalising D.G. Krige's empirical work) | Georges Matheron |
| Typ≠ | Geostatistical interpolation | Geostatistical interpolation with spatial trend |
| Źródło pierwotne≠ | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266. DOI ↗ | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Inne nazwy | OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Pokrewne≠ | 4 | 3 |
| Podsumowanie≠ | 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. | 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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