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ベイズ型Moran's I×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1950 / 2000s1995
提唱者Moran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)Luc Anselin
種類Bayesian spatial autocorrelation testLocal spatial autocorrelation statistic
原典Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
別名Bayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial associationLocal Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
関連66
概要Bayesian Moran's I embeds the classical Moran's I spatial autocorrelation test within a Bayesian probabilistic framework. Rather than producing a single p-value, it yields a posterior distribution over the spatial autocorrelation parameter, enabling uncertainty quantification, incorporation of prior knowledge, and more principled inference in small or irregular spatial datasets.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
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  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

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