ScholarGate
助手

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。

局部吉尔里C×Moran's I×
领域空间分析空间分析
方法族Regression modelRegression model
起源年份19951950
提出者Luc AnselinPatrick A. P. Moran
类型Local spatial statisticSpatial autocorrelation statistic
开创性文献Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
别名Local Geary, local spatial contiguity ratio, LISA Geary, local c statisticMoran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
相关66
摘要Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.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
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Local Geary's C · Moran's I. 于 2026-06-19 检索自 https://scholargate.app/zh/compare