多元分析在农业自然资源分类上的应用

The Application of Multivariate Analysis in the Classification of Natural Resources in Agriculture

本文利用多元分析对陕西秦巴山区进行自然分类,所选10个因素为影响秦巴山区主要商品(如柑桔、茶叶、水稻等)的主要自然生态集,以区域内28个县的观测站作为样点,由聚类分析将秦巴山区分为三类,即大巴山北亚热带区、汉江谷地亚热带农林区和秦岭暖温带森林区。

This paper deals with the natural classification to Qinba Mountains in Shaanxi Province by using multivariate analysis. The 10 chosen factors are the main natural ecological sets affecting the main products (such as: orange, tea, rice, etc.) in Qinba mountains. The observation stations in 28 counties in the mountains serve as the sample points. By using agglomerative analysis the mounrains can be divided into three varieties: The north subtropical region in Daba Mountain, the subtropical agriculture and forestry region in Han River Valley and the temperate forestry region in Qinling Mountains.