Usporedite metode

	Prostorno-vremenski Kriging	Obična krigija
Područje	Prostorna analiza	Prostorna analiza
Obitelj	Regression model	Regression model
Godina nastanka	1999	1963
Tvorac	Cressie & Huang; Kyriakidis & Journel	Georges Matheron (formalising D.G. Krige's empirical work)
Vrsta	Geostatistical interpolation	Geostatistical interpolation
Temeljni izvor	Cressie, N., & Huang, H.-C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94(448), 1330-1340.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Drugi nazivi	spatiotemporal kriging, ST-kriging, space-time geostatistical interpolation, kriging in space-time	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Srodne	4	4
Sažetak	Space-Time Kriging is a geostatistical interpolation method that predicts an unknown variable at any location and time by borrowing strength from nearby observations in both space and time simultaneously. It models the joint spatial-temporal covariance structure through a space-time variogram, then uses optimal linear weights to produce predictions with quantified uncertainty.	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.