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Панельный универсальный кригинг×Панельный Обычный Кригинг×
ОбластьПространственный анализПространственный анализ
СемействоRegression modelRegression model
Год появления1963 (base method); panel extension: 1990s–2000s1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s
Автор методаMatheron, G.; extended to panel settings by geostatistical literatureExtension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settings
ТипGeostatistical interpolationGeostatistical spatial interpolation
Основополагающий источникMatheron, 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
Другие названияUK 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
Связанные56
СводкаPanel 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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Panel Universal Kriging · Panel Ordinary Kriging. Получено 2026-06-18 из https://scholargate.app/ru/compare