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对我省7个土壤样本12个变量的实测值进行聚类—主组元统计分析,获得2个聚类谱系图,2个主组元方程。第一主组元可占全部信息的75.50％,其物理意义主要反映与土壤养分有关的性质及机械组成;第二主组元的物理意义主要反映土壤生物状况。第一、二主组元可占全部信息的86.24％,最后将土壤样本分出肥力高、中、低三个类群。
The cluster analysis and principal component analysis of 12 variables in 7 soil samples in our province were conducted to obtain 2 cluster pedigrees and 2 principal component equations. The first principal component can account for 75.50% of the total information, and its physical meaning mainly reflects the nature and mechanical composition related to soil nutrients. The physical meaning of the second principal component mainly reflects the soil biological status. The first and second principal components account for 86.24% of the total information, and finally the soil samples are divided into three groups of high, medium and low fertility.