Local Prediction of a Spatio-Temporal Process with an Application to Wet Sulfate Deposition
提出一种仅使用局部数据预测非平稳时空过程的方法，结合广义回归和克里金法，应用于美国本土1986-1992年季节性降雨硫酸盐沉降数据，发现预测偏差小且存在空间异质性时间漂移。
A prediction method is given for a first- and second-order nonstationary spatio-temporal process. The predictor uses local data only and consists of a two-stage generalized regression estimate of the local drift at the prediction location added to a kriging prediction of the residual process at that location. This predictor is applied to observations on seasonal, rainfall-deposited sulfate over the conterminous United States between summer 1986 and summer 1992. Analyses suggest that predictions and estimated prediction standard errors have negligible to small biases, there is spatially heterogeneous temporal drift, and temporal covariance is negligible.