Σύγκριση μεθόδων

	Καθολική Κρίγκινγκ	Ordinary Kriging
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1960s–1993	1963
Δημιουργός	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	Georges Matheron (formalising D.G. Krige's empirical work)
Τύπος	Geostatistical interpolation	Geostatistical interpolation
Θεμελιώδης πηγή	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Εναλλακτικές ονομασίες	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Συναφείς	5	4
Σύνοψη	Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset.	Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point.