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الارتباط التلقائي المكاني العام×الارتباط التلقائي المكاني×
المجالالتحليل المكانيالتحليل المكاني
العائلةRegression modelRegression model
سنة النشأة19501950
صاحب الطريقةP. A. P. Moran (Moran's I, 1950); generalized by Luc AnselinP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
النوعSpatial statistic / hypothesis testSpatial statistic / exploratory spatial data analysis
المصدر التأسيسيMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
الأسماء البديلةglobal spatial dependence, global Moran's I, GSA, global spatial clustering measurespatial dependence, geographic autocorrelation, spatial clustering measure, SA
ذات صلة65
الملخصGlobal Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.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.
ScholarGateمجموعة البيانات
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  2. 2 المصادر
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ScholarGateقارن الطرق: Global Spatial Autocorrelation · Spatial Autocorrelation. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare