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| Χωροσταθμική Παρεμβολή Kriging× | Ανάλυση Θερμών Σημείων Getis-Ord Gi*× | |
|---|---|---|
| Πεδίο | Χωρική Ανάλυση | Χωρική Ανάλυση |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1963 | 1992 |
| Δημιουργός≠ | Georges Matheron (formalised geostatistics) | Arthur Getis and J. Keith Ord |
| Τύπος≠ | Geostatistical spatial interpolation | Local spatial statistic |
| Θεμελιώδης πηγή≠ | Matheron, G. (1963). Principles of Geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | geostatistical interpolation, Gaussian process regression (geostatistics), ordinary kriging, Kriging (Mekânsal Enterpolasyon) | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic |
| Συναφείς≠ | 5 | 4 |
| Σύνοψη≠ | Kriging is a geostatistical method that predicts the value of a continuous variable at unmeasured locations from nearby measurements, using the spatial correlation structure captured by a variogram. Formalised by Georges Matheron in 1963, it is the best linear unbiased predictor (BLUP) for spatial data and comes in Ordinary, Universal, and Co-Kriging forms. | Getis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots). |
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