Linganisha mbinu

	Robust Moran's I ya Nguvu	Kiashirio Imara cha Vyama vya Kimaeneo (Robust LISA)
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	1990s–2000s	1995–2000s
Mwanzilishi	Extension of Moran (1950); robust adaptations developed in spatial statistics literature	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
Aina	Robust spatial autocorrelation statistic	Local spatial autocorrelation statistic (robust variant)
Chanzo asilia	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.
Majina mbadala	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
Zinazohusiana	6	6
Muhtasari	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.