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空間的自己相関(全体)×空間的自己相関×
分野空間分析空間分析
系統Regression modelRegression model
提唱年19501950
提唱者P. A. P. Moran (Moran's I, 1950); generalized by Luc AnselinP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
種類Spatial statistic / hypothesis testSpatial statistic / exploratory spatial data analysis
原典Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
別名global spatial dependence, global Moran's I, GSA, global spatial clustering measurespatial dependence, geographic autocorrelation, spatial clustering measure, SA
関連65
概要Global Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
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ScholarGate手法を比較: Global Spatial Autocorrelation · Spatial Autocorrelation. 2026-06-18に以下より取得 https://scholargate.app/ja/compare