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Krigueo Universal (Krigueo con Tendencia)×Ponderación por distancia inversa (IDW)×
CampoAnálisis espacialAnálisis espacial
FamiliaRegression modelRegression model
Año de origen19691968
Autor originalGeorges MatheronDonald Shepard
TipoGeostatistical interpolation with spatial trendDeterministic spatial interpolation
Fuente seminalMatheron, 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 ↗
Aliaskriging with a trend, kriging with drift, trend kriging, evrensel krigingIDW, inverse distance interpolation, Shepard's method, ters mesafe ağırlıklı enterpolasyon
Relacionados33
ResumenUniversal 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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ScholarGateComparar métodos: Universal Kriging · Inverse Distance Weighting. Recuperado el 2026-06-19 de https://scholargate.app/es/compare