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분야공간분석공간분석
계열Regression modelRegression model
기원 연도19991969
창시자Kyriakidis & Journel (1999); foundations in Matheron's geostatisticsGeorges Matheron
유형Spatiotemporal geostatistical interpolationGeostatistical interpolation with spatial trend
원전Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684. DOI ↗Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
별칭STUK, spatiotemporal universal kriging, space-time kriging with trend, universal kriging in space-timekriging with a trend, kriging with drift, trend kriging, evrensel kriging
관련53
요약Space-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.
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