Compară metode

	Kriging Universal Spațio-Temporal	Crinaj universal (Crinaj cu tendință)
Domeniu	Analiză spațială	Analiză spațială
Familie	Regression model	Regression model
Anul apariției	1999	1969
Autorul original	Kyriakidis & Journel (1999); foundations in Matheron's geostatistics	Georges Matheron
Tip	Spatiotemporal geostatistical interpolation	Geostatistical interpolation with spatial trend
Sursa seminală	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.
Denumiri alternative	STUK, spatiotemporal universal kriging, space-time kriging with trend, universal kriging in space-time	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Înrudite	5	3
Rezumat	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.	Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.