Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Пространственная автокорреляция по критерию Гири (Geary's C)× | Анализ горячих точек Getis-Ord Gi*× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство≠ | Hypothesis test | Regression model |
| Год появления≠ | 1954 | 1992 |
| Автор метода≠ | Roy C. Geary | Arthur Getis and J. Keith Ord |
| Тип≠ | Global spatial autocorrelation statistic | Local spatial statistic |
| Основополагающий источник≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–146. DOI ↗ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Другие названия≠ | Geary contiguity ratio, Geary's contiguity ratio, global spatial autocorrelation, Geary C mekânsal otokorelasyon | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic |
| Связанные≠ | 2 | 4 |
| Сводка≠ | Geary's C is a global measure of spatial autocorrelation — whether nearby locations tend to have similar values — introduced by Roy Geary in 1954. Unlike Moran's I, which is built on the covariation of values around the mean, Geary's C is built on the squared differences between neighbouring values, making it more sensitive to local, short-range variation. Values below 1 indicate positive spatial autocorrelation (similar neighbours), near 1 indicate randomness, and above 1 indicate negative autocorrelation. | 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). |
| ScholarGateНабор данных ↗ |
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