【摘要】 克立格法是一种最优、线性(或非线性)、无偏内插估计量的方法。随着信息社会的发展,克立格法的应用范围越来越广。文中介绍了克立格法相关的计算方法,并基于Windows编写克立格算法流程图,提出改进克立格算法的若干方法,包括:①强化数据预处理;②将基本滞后距和实验变差函数计算结合起来一并运算;③防止数据溢出;④选择快速有效算法求解克立格方程组。更多还原

【Abstract】 The Kriging method is the best, linear (or non-linear), and unbiased estimate method. With the instant development of society, the Kriging method is used more and more widely. In this paper, the author introduces correlative computing method of Kriging, compiles flow diagram of the Kriging algorithm based on Windows, and puts forward methods of improving the Kriging algorithm. The methods include: (1) intensifying data preprocess; (2) calculating the basic lag distance and the experimental variogram together; (3) avoiding data overflow; (4) choosing fast and effective algorithm to solve the Kriging equation group.更多还原