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领域空间分析空间分析
方法族Regression modelRegression model
起源年份1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s1969
提出者Extension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settingsGeorges Matheron
类型Geostatistical spatial interpolationGeostatistical interpolation with spatial trend
开创性文献Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
别名ordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolationkriging with a trend, kriging with drift, trend kriging, evrensel kriging
相关63
摘要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.Universal 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.
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  3. PUBLISHED

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ScholarGate方法对比: Panel Ordinary Kriging · Universal Kriging. 于 2026-06-18 检索自 https://scholargate.app/zh/compare