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| 局所的普通クリギング× | 共同クルギング:多変量地球統計学的手法による補間× | |
|---|---|---|
| 分野 | 空間分析 | 空間分析 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 1970s–1990s | 1965-1978 |
| 提唱者≠ | Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner | Matheron, G.; extended by Journel & Huijbregts |
| 種類≠ | Geostatistical interpolation (local/moving-window variant) | Geostatistical interpolation |
| 原典≠ | Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153 | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| 別名 | moving window kriging, local kriging, neighborhood kriging, LOK | cokriging, co-regionalization kriging, multivariate kriging, CK |
| 関連 | 5 | 5 |
| 概要≠ | Local Ordinary Kriging (LOK) is a geostatistical interpolation method that estimates values at unsampled locations using only a spatially defined moving neighborhood of nearby observations. By restricting each prediction to a local data window rather than the full dataset, LOK accommodates spatial non-stationarity, reduces computational cost, and often yields more accurate local predictions than global ordinary kriging. | 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. |
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