ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

局所的空間自己相関×空間的関連の局所的指標(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 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 clusteringLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
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.LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Local Spatial Autocorrelation · Local Indicators of Spatial Association. 2026-06-19に以下より取得 https://scholargate.app/ja/compare