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。
| 面板吉里氏C空间自相关× | Moran's I× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1954 (base); 2000s (panel extension) | 1950 |
| 提出者≠ | R. C. Geary (1954); panel extension in spatial econometrics literature | Patrick A. P. Moran |
| 类型 | Spatial autocorrelation statistic | Spatial autocorrelation statistic |
| 开创性文献≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115-145. link ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| 别名 | Geary's C for panel data, spatial Geary C panel, panel spatial contiguity ratio, panel Geary contiguity statistic | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| 相关≠ | 4 | 6 |
| 摘要≠ | Panel Geary's C extends the classic Geary contiguity ratio to panel datasets, measuring spatial autocorrelation across georeferenced units (regions, cities, countries) observed over multiple time periods. It detects whether neighboring units tend to have similar values, pooling or averaging evidence across the temporal dimension to yield more powerful inference than a single cross-section. | Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number. |
| ScholarGate数据集 ↗ |
|
|