Σύγκριση μεθόδων

	Ανθεκτική Χωρική Αυτοσυσχέτιση	Δείκτης Ι του Moran
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1981–1995	1950
Δημιουργός	Cliff & Ord; extended by Anselin and colleagues	Patrick A. P. Moran
Τύπος	Spatial dependence test (robust variant)	Spatial autocorrelation 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.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
Εναλλακτικές ονομασίες	robust Moran's I, robust spatial dependence test, outlier-resistant spatial autocorrelation, RSA	Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
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.	Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number.