विधियों की तुलना करें

	वैश्विक स्थानिक स्वसहसंबंध (Global Spatial Autocorrelation)	स्थानीय मोरान का I (LISA)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1950	1995
प्रवर्तक	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	Luc Anselin
प्रकार	Spatial statistic / hypothesis test	Local spatial autocorrelation statistic
मौलिक स्रोत	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.
उपनाम	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
संबंधित	6	6
सारांश	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 Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.