Regression modelGIS / spatial
全局空间自相关
全局空间自相关衡量整个研究区域内相似值聚集的程度。它不识别聚集发生的位置，而是产生一个单一的汇总统计量——最常见的是Moran's I——该统计量量化了空间邻近性是否在所有观测值之间同时与值的相似性、相异性或随机性相吻合。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI: 10.2307/2332142 ↗
- Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737322
如何引用本页
ScholarGate. (2026, June 3). Global Spatial Autocorrelation Analysis. ScholarGate. https://scholargate.app/zh/spatial-analysis/global-spatial-autocorrelation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Geary's C空间分析↔ compare
- Getis-Ord Gi* 热点分析空间分析↔ compare
- 局部莫兰指数 (LISA)空间分析↔ compare
- 局部空间自相关空间分析↔ compare
- Moran's I空间分析↔ compare
- 空间自相关空间分析↔ compare