Regression modelGIS / spatial

稳健空间自相关

稳健空间自相关方法衡量地理单元的邻近单元共享相似值的程度，同时明确控制空间异常值和极端观测值造成的扭曲影响。它们通过降低权重或修剪那些可能夸大或缩小自相关信号的观测值，来扩展莫兰 I 等经典统计量。

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来源

Anselin, L., & Florax, R. J. G. M. (1995). Small sample properties of tests for spatial dependence in regression models: some further results. In Anselin, L. & Florax, R. J. G. M. (Eds.), New Directions in Spatial Econometrics. Springer, Berlin. link ↗
Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion, London. ISBN: 0850860814

如何引用本页

ScholarGate. (2026, June 3). Robust Spatial Autocorrelation Analysis. ScholarGate. https://scholargate.app/zh/spatial-analysis/robust-spatial-autocorrelation

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被引用于

稳健 Getis-Ord Gi* 统计量稳健局部空间关联指标 (Robust LISA)

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