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	अंतर-सामयिक स्थानिक स्वसहसंबंध	ग्लोबल मोरान्स I
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1981–1992	1950
प्रवर्तक	Cliff & Ord; extended by Anselin and others	Patrick Alfred Pierce Moran
प्रकार	Spatial autocorrelation statistic	Global spatial autocorrelation test / index
मौलिक स्रोत	Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
उपनाम	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	Moran's I, global spatial autocorrelation index, Moran index, GMI
संबंधित	5	6
सारांश	Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss.	Global Moran's I is the most widely used single-number summary of spatial autocorrelation across an entire study area. It compares the attribute value at each location with values at neighbouring locations using a spatial weights matrix, and returns a statistic ranging from −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering). A significance test determines whether the observed pattern is stronger than random chance.