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मजबूत स्थानीय स्थानिक सहसंबंध सूचक (Robust LISA)×स्थानीय गियरिस सी×
क्षेत्रस्थानिक विश्लेषणस्थानिक विश्लेषण
परिवारRegression modelRegression model
उद्भव वर्ष1995–2000s1995
प्रवर्तकAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticiansLuc Anselin
प्रकारLocal spatial autocorrelation statistic (robust variant)Local spatial statistic
मौलिक स्रोतAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
उपनामRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weightsLocal Geary, local spatial contiguity ratio, LISA Geary, local c statistic
संबंधित66
सारांशRobust 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.Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Robust Local Indicators of Spatial Association · Local Geary's C. 2026-06-20 को यहाँ से प्राप्त https://scholargate.app/hi/compare