পদ্ধতির তুলনা করুন

	বৈশ্বিক স্থানিক স্বতঃসহসম্বন্ধ	স্থানীয় স্থানিক স্বতঃসংযোগ (Local Spatial Autocorrelation)
ক্ষেত্র	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1950	1995
প্রবর্তক	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	Luc Anselin
ধরন	Spatial statistic / hypothesis test	Spatial association analysis
মৌলিক উৎস	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
অপর নাম	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	local spatial association, local SA, LISA methods, local spatial clustering
সম্পর্কিত	6	6
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.	Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.