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局所的空間自己相関×局所的モラン指数 (LISA)×
分野空間分析空間分析
系統Regression modelRegression model
提唱年19951995
提唱者Luc AnselinLuc Anselin
種類Spatial association analysisLocal spatial autocorrelation statistic
原典Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
別名local spatial association, local SA, LISA methods, local spatial clusteringLocal Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
関連66
概要Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

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ScholarGate手法を比較: Local Spatial Autocorrelation · Local Moran's I. 2026-06-18に以下より取得 https://scholargate.app/ja/compare