পদ্ধতির তুলনা করুন

	Robust Geary's C	শক্তিশালী স্থানীয় স্থানিক সংযোগ সূচক (শক্তিশালী LISA)
ক্ষেত্র	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1954 (base); robust variants: 1990s–2000s	1995–2000s
প্রবর্তক	Geary (1954); robust extensions by Anselin and spatial statisticians	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
ধরন	Robust spatial autocorrelation statistic	Local spatial autocorrelation statistic (robust variant)
মৌলিক উৎস	Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
অপর নাম	robust Geary contiguity ratio, outlier-resistant Geary's C, robust spatial contiguity statistic, robust Geary C	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights
সম্পর্কিত	6	6
সারসংক্ষেপ	Robust Geary's C adapts the classical Geary contiguity ratio — a measure of spatial autocorrelation based on pairwise squared differences between neighbouring locations — to resist distortion by spatial outliers and influential observations. It retains the local sensitivity of Geary's C while producing more reliable inferences when the spatial data contain extreme values or non-normal distributions.	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.