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多尺度 Getis-Ord Gi* 热点分析

多尺度 Getis-Ord Gi* 通过在一定范围的空间距离频带或邻域大小上计算 Gi* z 分数,扩展了经典的局部热点统计量。这揭示了高值或低值簇是否依赖于尺度——仅出现在精细的局部尺度、仅出现在广泛的区域尺度,或持续出现在所有尺度上——从而提供比单一带宽分析更丰富的空间情报。

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来源

  1. Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4), 286-306. DOI: 10.1111/j.1538-4632.1995.tb00912.x
  2. Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168

如何引用本页

ScholarGate. (2026, June 3). Multiscale Getis-Ord Gi* Hot Spot Analysis. ScholarGate. https://scholargate.app/zh/spatial-analysis/multiscale-getis-ord-gi

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ScholarGateMultiscale Getis-Ord Gi* (Multiscale Getis-Ord Gi* Hot Spot Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/multiscale-getis-ord-gi · 数据集: https://doi.org/10.5281/zenodo.20539026