विधियों की तुलना करें

	ग्लोबल को-क्रीगिंग	स्थानिक स्वसहसंबंध
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1982	1950
प्रवर्तक	Matheron (geostatistics framework); formalized for multivariate case by Myers (1982)	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
प्रकार	Multivariate geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
मौलिक स्रोत	Myers, D. E. (1982). Matrix formulation of co-kriging. Journal of the International Association for Mathematical Geology, 14(3), 249–257.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
उपनाम	global cokriging, co-kriging, cokriging, multivariate kriging	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
संबंधित	4	5
सारांश	Global Co-Kriging is a multivariate geostatistical interpolation method that estimates an unsampled primary variable by exploiting its spatial cross-correlation with one or more secondary variables. Unlike local (moving-window) approaches, it fits a single set of variogram and cross-variogram models to the entire study domain and solves one global cokriging system for each prediction location.	Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.