Regression modelGIS / spatial
时空克里金
时空克里金是一种地统计学插值方法，通过同时利用空间和时间上邻近观测值的强度来预测任何地点和时间的未知变量。它通过时空变异函数（space-time variogram）对联合时空协方差结构进行建模，然后使用最优线性权重来产生具有量化不确定性的预测。
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来源
- Cressie, N., & Huang, H.-C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94(448), 1330-1340. DOI: 10.1080/01621459.1999.10473885 ↗
- Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684. DOI: 10.1023/A:1007528426688 ↗
如何引用本页
ScholarGate. (2026, June 3). Space-Time Kriging. ScholarGate. https://scholargate.app/zh/spatial-analysis/space-time-kriging
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