Methoden vergelijken

	Robuuste Moran's I	Robuuste Lokale Indicatoren van Ruimtelijke Associatie (Robuuste LISA)
Vakgebied	Ruimtelijke analyse	Ruimtelijke analyse
Familie	Regression model	Regression model
Jaar van ontstaan	1990s–2000s	1995–2000s
Grondlegger	Extension of Moran (1950); robust adaptations developed in spatial statistics literature	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
Type	Robust spatial autocorrelation statistic	Local spatial autocorrelation statistic (robust variant)
Oorspronkelijke bron	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.
Aliassen	outlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial association	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights
Verwant	6	6
Samenvatting	Robust Moran's I is an outlier-resistant adaptation of the classic Moran's I spatial autocorrelation statistic. By replacing the standard mean-based standardization with resistant measures of center and spread, it detects genuine geographic clustering without being distorted by a small number of extreme values in the attribute of interest.	Robust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.