قارن الطرق

	التكريك المشترك الشامل	الارتباط التلقائي المكاني
المجال	التحليل المكاني	التحليل المكاني
العائلة	Regression model	Regression model
سنة النشأة	1982	1950
صاحب الطريقة	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)
النوع	Multivariate geostatistical interpolation	Spatial statistic / exploratory spatial data analysis
المصدر التأسيسي	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.
الأسماء البديلة	global cokriging, co-kriging, cokriging, multivariate kriging	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
ذات صلة	4	5
الملخص	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.