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التكريج الشامل للزمكان×الانحدار الموزون جغرافيًا (GWR)×
المجالالتحليل المكانيالتحليل المكاني
العائلةRegression modelRegression model
سنة النشأة19992002
صاحب الطريقةKyriakidis & Journel (1999); foundations in Matheron's geostatisticsFotheringham, Brunsdon & Charlton
النوعSpatiotemporal geostatistical interpolationLocal spatial regression
المصدر التأسيسيKyriakidis, 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
الأسماء البديلةSTUK, spatiotemporal universal kriging, space-time kriging with trend, universal kriging in space-timeGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
ذات صلة55
الملخصSpace-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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ScholarGateقارن الطرق: Space-Time Universal Kriging · Geographically Weighted Regression. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare