Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Панельный Обычный Кригинг× | Кокригинг: Многомерная геостатистическая интерполяция× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s | 1965-1978 |
| Автор метода≠ | Extension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settings | Matheron, G.; extended by Journel & Huijbregts |
| Тип≠ | Geostatistical spatial interpolation | Geostatistical interpolation |
| Основополагающий источник≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550 | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| Другие названия | ordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolation | cokriging, co-regionalization kriging, multivariate kriging, CK |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest. |
| ScholarGateНабор данных ↗ |
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