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Univerzalni kriging (Kriging s trendom)×Inverzno ponderiranje udaljenosti (IDW)×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka19691968
TvoracGeorges MatheronDonald Shepard
VrstaGeostatistical interpolation with spatial trendDeterministic spatial interpolation
Temeljni izvorMatheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 23rd ACM National Conference, 517–524. DOI ↗
Drugi nazivikriging with a trend, kriging with drift, trend kriging, evrensel krigingIDW, inverse distance interpolation, Shepard's method, ters mesafe ağırlıklı enterpolasyon
Srodne33
SažetakUniversal 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.Inverse distance weighting is a simple, deterministic method for estimating values at unsampled locations by taking a weighted average of nearby measured points, where closer points carry more weight. Introduced by Donald Shepard in 1968, it embodies the first law of geography — near things are more related than distant things — and is one of the most widely used interpolation methods in GIS for mapping continuous fields such as rainfall, elevation, or pollution from scattered samples.
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ScholarGateUsporedite metode: Universal Kriging · Inverse Distance Weighting. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare