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Panel Kriging×Geographically Weighted Regression (GWR)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka20112002
TvoracCressie & Wikle (spatio-temporal kriging framework)Fotheringham, Brunsdon & Charlton
TipGeostatistical interpolationLocal spatial regression
Temeljni izvorCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Drugi nazivilongitudinal kriging, repeated-measures kriging, spatio-temporal panel kriging, panel geostatistical interpolationGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Srodne55
SažetakPanel Kriging is a geostatistical interpolation method that combines kriging's spatial prediction framework with a panel (longitudinal) data structure. It estimates unknown values at unobserved locations and times by borrowing strength from repeated spatial observations across multiple time periods, accounting for both spatial dependence and temporal autocorrelation simultaneously.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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ScholarGateUporedite metode: Panel Kriging · Geographically Weighted Regression. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare