Regression modelGIS / spatial
时空泛克里金
时空泛克里金（Space-Time Universal Kriging, STUK）是一种地统计学方法，它通过显式建模确定性趋势分量，对跨越空间和时间连续变化的现象进行插值。它将泛克里金（Universal Kriging）推广到联合时空域，在未观测到的时空位置生成无偏最优预测及其相关的 UQ（不确定性量化）估计。
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来源
- Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684. DOI: 10.1023/A:1007528426688 ↗
- Graler, B., Pebesma, E., & Heuvelink, G. (2016). Spatio-temporal interpolation using gstat. The R Journal, 8(1), 204-218. link ↗
如何引用本页
ScholarGate. (2026, June 3). Space-Time Universal Kriging. ScholarGate. https://scholargate.app/zh/spatial-analysis/space-time-universal-kriging
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 地理加权回归 (GWR)空间分析↔ compare
- 普通克里金法空间分析↔ compare
- 时空克里金空间分析↔ compare
- 时空普通克里金空间分析↔ compare
- 通用克里金 (带趋势的克里金)空间分析↔ compare