Methoden vergleichen

	Bayesianischer Moran-I-Test	Lokale Indikatoren für räumliche Assoziation (LISA)
Fachgebiet	Räumliche Analyse	Räumliche Analyse
Familie	Regression model	Regression model
Entstehungsjahr	1950 / 2000s	1995
Urheber	Moran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)	Luc Anselin
Typ	Bayesian spatial autocorrelation test	Local spatial statistic
Wegweisende Quelle	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.
Aliasnamen	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
Verwandt	6	6
Zusammenfassung	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.