Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Локальный кригинг (кригинг в скользящем окне)× | Кокригинг: Многомерная геостатистическая интерполяция× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1990 | 1965-1978 |
| Автор метода≠ | Haas, T. C. | Matheron, G.; extended by Journel & Huijbregts |
| Тип≠ | Spatial interpolation (local variant) | Geostatistical interpolation |
| Основополагающий источник≠ | Haas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769. DOI ↗ | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| Другие названия | moving-window kriging, local kriging interpolation, windowed kriging, neighborhood kriging | cokriging, co-regionalization kriging, multivariate kriging, CK |
| Связанные≠ | 3 | 5 |
| Сводка≠ | Local Kriging is a spatially adaptive geostatistical interpolation method that restricts each prediction to a moving neighborhood of nearby observations, fitting a variogram model locally within that window. This allows spatial covariance structure to vary across the study region rather than imposing a single global variogram, making it better suited to large or non-stationary spatial fields. | 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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