Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Робастное кригинг× | Универсальный кригинг (кригинг с трендом)× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1980 | 1969 |
| Автор метода≠ | Noel Cressie & Douglas M. Hawkins | Georges Matheron |
| Тип≠ | Robust geostatistical interpolation | Geostatistical interpolation with spatial trend |
| Основополагающий источник≠ | Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125. DOI ↗ | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Другие названия | robust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Связанные≠ | 4 | 3 |
| Сводка≠ | Robust Kriging is a geostatistical interpolation method that extends classical kriging by replacing sensitive variogram estimation with outlier-resistant alternatives, most notably the Cressie-Hawkins robust estimator. It produces spatially interpolated predictions that are not distorted by anomalous or extreme observations in the data. | 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. |
| ScholarGateНабор данных ↗ |
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