Σύγκριση μεθόδων

	Παγκόσμια Συν-Κρίγκινγκ	Χωρική Αυτοσυσχέτιση
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1982	1950
Δημιουργός	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)
Τύπος	Multivariate geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	global cokriging, co-kriging, cokriging, multivariate kriging	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
Συναφείς	4	5
Σύνοψη	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.