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Space-Time Universal Kriging×Geografisk vægtede regression (GWR)×
FagområdeRumlig analyseRumlig analyse
FamilieRegression modelRegression model
Oprindelsesår19992002
OphavspersonKyriakidis & Journel (1999); foundations in Matheron's geostatisticsFotheringham, Brunsdon & Charlton
TypeSpatiotemporal geostatistical interpolationLocal spatial regression
Oprindelig kildeKyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
AliasserSTUK, spatiotemporal universal kriging, space-time kriging with trend, universal kriging in space-timeGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Relaterede55
ResuméSpace-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.Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.
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