Σύγκριση μεθόδων

	Ανθεκτική Χωρική Αυτοσυσχέτιση	Τοπικοί Δείκτες Χωρικής Συσχέτισης (LISA)
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1981–1995	1995
Δημιουργός	Cliff & Ord; extended by Anselin and colleagues	Luc Anselin
Τύπος	Spatial dependence test (robust variant)	Local spatial statistic
Θεμελιώδης πηγή	Anselin, L., & Florax, R. J. G. M. (1995). Small sample properties of tests for spatial dependence in regression models: some further results. In Anselin, L. & Florax, R. J. G. M. (Eds.), New Directions in Spatial Econometrics. Springer, Berlin.	Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115.
Εναλλακτικές ονομασίες	robust Moran's I, robust spatial dependence test, outlier-resistant spatial autocorrelation, RSA	LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Συναφείς	5	6
Σύνοψη	Robust spatial autocorrelation methods measure the degree to which nearby geographic units share similar values, while explicitly controlling for the distorting influence of spatial outliers and extreme observations. They extend classical statistics such as Moran's I by down-weighting or trimming observations that would otherwise inflate or deflate the autocorrelation signal.	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.