论文从4个方面论述了克立格估值中权系数的规格化与区域化变量的空间相关性:克立格方程组的无偏估计的约束条件;空间系数缺失情况下的权系数规格化方法;数据组合中的约束规则;权系数为负值时的规格化方法.重点结合大气环境监测站点的优化设计从理论和实际上进行了论证,给出了权系数为负值时的一种规格化方法.
The paper discusses the spatial correlation between the standardization of weight coefficient of Kriging estimate and the variance at the regional scale, from the following four aspects: 1. Constraint condition of the nonbiased estimate of Kriging equations. 2. Standardization method of weight coefficient under missing spatial coefficient values, 3. Constraint rules in data combination. 4. Standardization method with negative weight coefficient. The paper focuses on and provides a standardization method under a condition of negative weight coefficient. The method is verified by the optimization of monitoring network/points in atmospheric environment' from the theory and practice.