เปรียบเทียบวิธี

	Bayesian Local Indicators of Spatial Association	Local Geary's C
สาขาวิชา	การวิเคราะห์เชิงพื้นที่	การวิเคราะห์เชิงพื้นที่
ตระกูล	Regression model	Regression model
ปีกำเนิด	2000s–2010s	1995
ผู้ริเริ่ม	Extension of Anselin (1995) LISA framework within Bayesian hierarchical modeling traditions (Banerjee, Carlin, Gelfand)	Luc Anselin
ประเภท	Bayesian local spatial statistic	Local spatial statistic
แหล่งต้นตำรับ	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
ชื่อเรียกอื่น	Bayesian LISA, Bayesian local spatial autocorrelation, Bayesian local Moran, B-LISA	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
ที่เกี่ยวข้อง	6	6
สรุป	Bayesian Local Indicators of Spatial Association extend the classical LISA framework by embedding local spatial association statistics within a Bayesian hierarchical model. Rather than relying on asymptotic permutation-based significance tests, this approach places prior distributions on spatial parameters and derives posterior probabilities that a location is part of a genuine spatial cluster, accounting for uncertainty and borrowing strength across nearby units.	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.