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Regression modelGIS / spatial

局部空间自相关

局部空间自相关方法将全局空间聚类分解为特定于位置的统计量,揭示研究区域内何处发生显著的聚类或分散。每个观测值都会获得其自身的关联得分和显著性值,从而能够检测空间热点、冷点和空间异常值,而不是报告单一的汇总统计量。

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来源

  1. Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI: 10.1111/j.1538-4632.1995.tb00338.x
  2. Indicators of spatial association. Wikipedia. link

如何引用本页

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

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被引用于

ScholarGateLocal Spatial Autocorrelation (Local Spatial Autocorrelation Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/local-spatial-autocorrelation · 数据集: https://doi.org/10.5281/zenodo.20539026