Σύγκριση μεθόδων

	Space-Time Universal Kriging	Ordinary Kriging
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1999	1963
Δημιουργός	Kyriakidis & Journel (1999); foundations in Matheron's geostatistics	Georges Matheron (formalising D.G. Krige's empirical work)
Τύπος	Spatiotemporal geostatistical interpolation	Geostatistical interpolation
Θεμελιώδης πηγή	Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Εναλλακτικές ονομασίες	STUK, spatiotemporal universal kriging, space-time kriging with trend, universal kriging in space-time	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Συναφείς	5	4
Σύνοψη	Space-Time Universal Kriging (STUK) is a geostatistical method that interpolates a continuously varying phenomenon across both space and time while explicitly modelling a deterministic trend component. It generalises Universal Kriging to the joint space-time domain, producing unbiased optimal predictions and associated uncertainty estimates at unobserved space-time locations.	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.