विधियों की तुलना करें

	बेयसियन मोरान का I	स्थानीय स्थानिक सहसंबंध सूचक (Local Indicators of Spatial Association - LISA)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1950 / 2000s	1995
प्रवर्तक	Moran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)	Luc Anselin
प्रकार	Bayesian spatial autocorrelation test	Local spatial statistic
मौलिक स्रोत	Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611	Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115.
उपनाम	Bayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial association	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
संबंधित	6	6
सारांश	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.	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.