手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| ユニバーサル・クリーギング(トレンド付きクリーギング)× | 共クライング× | |
|---|---|---|
| 分野 | 空間分析 | 空間分析 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 1969 | 1963 |
| 提唱者≠ | Georges Matheron | Georges Matheron (geostatistics); multivariate extension |
| 種類≠ | Geostatistical interpolation with spatial trend | Multivariate geostatistical interpolation |
| 原典 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| 別名≠ | kriging with a trend, kriging with drift, trend kriging, evrensel kriging | co-kriging, multivariate kriging, ortak kriging |
| 関連 | 3 | 3 |
| 概要≠ | 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. | Cokriging extends kriging to use one or more correlated secondary variables to improve prediction of a primary variable. When the variable of interest is sparsely sampled but a related, cheaper-to-measure variable is densely sampled, cokriging borrows strength from the secondary variable through their cross-correlation, yielding more accurate interpolations and prediction variances than kriging the primary variable alone. |
| ScholarGateデータセット ↗ |
|
|