विधियों की तुलना करें

	ग्लोबल स्पैशियल एरर मॉडल (SEM)	मोरन का I
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1988	1950
प्रवर्तक	Luc Anselin	Patrick A. P. Moran
प्रकार	Spatial regression model	Spatial autocorrelation statistic
मौलिक स्रोत	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737322	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
उपनाम	SEM, spatial error model, spatial error regression, global SEM	Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
संबंधित	5	6
सारांश	The Global Spatial Error Model (SEM) is a spatial regression technique that accounts for spatially autocorrelated error terms using a single, globally constant spatial parameter. It separates genuine predictor effects from spatial nuisance dependence in the residuals, yielding unbiased and efficient coefficient estimates when spatial error correlation is present across all observations.	Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number.