विधियों की तुलना करें

	मजबूत स्थानीय स्थानिक सहसंबंध सूचक (Robust LISA)	स्थानिक स्वसहसंबंध
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1995–2000s	1950
प्रवर्तक	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
प्रकार	Local spatial autocorrelation statistic (robust variant)	Spatial statistic / exploratory spatial data analysis
मौलिक स्रोत	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
उपनाम	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
संबंधित	6	5
सारांश	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.	Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.