পদ্ধতির তুলনা করুন

	বৈশ্বিক স্থানিক স্বতঃসহসম্বন্ধ	স্থানিক স্বতঃসহসম্পর্ক (Spatial Autocorrelation)
ক্ষেত্র	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1950	1950
প্রবর্তক	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
ধরন	Spatial statistic / hypothesis test	Spatial statistic / exploratory spatial data analysis
মৌলিক উৎস	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
অপর নাম	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
সম্পর্কিত	6	5
সারসংক্ষেপ	Global 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.