本文应用Kriging方法,对土壤的微团聚体含量,机械组成等特性分别进行了分析,并与线性内插法进行了比较。由于Kriging方法充分考虑了田间的空间变异结构,因而它比线性内插法有更高的估计精度。同时本文还分析了影响Kriging的几个因素,结果表明,邻域样点数,样点间距以及选择的半方差图模型都对Kriging估计方差有很大影响。 In this paper, Kriging method was used to analyze the characteristics of soil micro-aggregates, mechanical composition and so on, and compared with linear interpolation method. Kriging method takes into account the spatial variability of the field structure, so it has a higher estimation accuracy than the linear interpolation method. At the same time, the paper also analyzes several factors that affect Kriging. The results show that the neighborhood sample points, the sample spacing and the selected semi-variance graph models all have great influence on Kriging’s estimation variance.