方法对比
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| 全局克里金法× | 局部克里金（移动窗口克里金）× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1960s–1993 | 1990 |
| 提出者≠ | Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics | Haas, T. C. |
| 类型≠ | Geostatistical interpolation | Spatial interpolation (local variant) |
| 开创性文献≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550 | Haas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769. DOI ↗ |
| 别名 | global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging | moving-window kriging, local kriging interpolation, windowed kriging, neighborhood kriging |
| 相关≠ | 5 | 3 |
| 摘要≠ | Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset. | 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. |
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