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الكرينج الشامل للبيانات المقطعية (Panel Universal Kriging)×التوزيع العادي اللوحي (Panel Ordinary Kriging)×
المجالالتحليل المكانيالتحليل المكاني
العائلةRegression modelRegression model
سنة النشأة1963 (base method); panel extension: 1990s–2000s1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s
صاحب الطريقةMatheron, G.; extended to panel settings by geostatistical literatureExtension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settings
النوعGeostatistical interpolationGeostatistical spatial interpolation
المصدر التأسيسيMatheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550
الأسماء البديلةUK panel interpolation, panel UK, universal kriging for panel data, longitudinal universal krigingordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolation
ذات صلة56
الملخصPanel Universal Kriging extends Universal Kriging to data structures with repeated spatial observations over time (panel or longitudinal format). It simultaneously estimates a deterministic trend surface — incorporating covariates that vary across both space and time — and a stochastic spatially correlated residual, pooling information across all time periods to improve prediction accuracy and parameter stability.Panel Ordinary Kriging extends the classical geostatistical interpolation method — Ordinary Kriging — to panel (longitudinal) datasets where the same set of spatial locations is observed repeatedly over multiple time periods. It produces optimal linear unbiased predictions at unsampled locations for each time slice, accounting for spatial dependence while leveraging the temporal structure of the repeated observations.
ScholarGateمجموعة البيانات
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  3. PUBLISHED

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ScholarGateقارن الطرق: Panel Universal Kriging · Panel Ordinary Kriging. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare