Salīdzināt metodes

	Globālā telpiskā autokorelācija	Moran's I
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Regression model
Izcelsmes gads	1950	1950
Autors	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	Patrick A. P. Moran
Tips	Spatial statistic / hypothesis test	Spatial autocorrelation statistic
Pirmavots	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.
Citi nosaukumi	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
Saistītās	6	6
Kopsavilkums	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.	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.