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| Globālā Getis-Ord Gi* statistika× | Karstā punkta analīze (Getis-Ord Gi*)× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads | 1992 | 1992 |
| Autors | Arthur Getis and J. Keith Ord | Arthur Getis and J. Keith Ord |
| Tips≠ | Global spatial clustering statistic | Local spatial statistic |
| Pirmavots | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ |
| Citi nosaukumi | Global G statistic, Getis-Ord General G, General G*, Global spatial clustering statistic | Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | The Global Getis-Ord Gi* statistic measures the overall degree of spatial clustering of high or low values across an entire study region. It answers whether the study area, taken as a whole, exhibits significant concentration of high values (hot clustering) or low values (cold clustering), returning a single summary Z-score for the entire dataset. | Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation. |
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