方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| Getis-Ord Gi* 热点分析× | Geary's C空间自相关× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族≠ | Regression model | Hypothesis test |
| 起源年份≠ | 1992 | 1954 |
| 提出者≠ | Arthur Getis and J. Keith Ord | Roy C. Geary |
| 类型≠ | Local spatial statistic | Global spatial autocorrelation statistic |
| 开创性文献≠ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–146. DOI ↗ |
| 别名≠ | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic | Geary contiguity ratio, Geary's contiguity ratio, global spatial autocorrelation, Geary C mekânsal otokorelasyon |
| 相关≠ | 4 | 2 |
| 摘要≠ | 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). | 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. |
| ScholarGate数据集 ↗ |
|
|