【摘要】 运用主成分分析和多元线性回归相结合的方法对桐城市水稻土资源进行质量评价 .文中选用了桐城的 2 4个典型土种 ,12个变量 (评价项目 ) ,先对土种理化性质进行数字化处理 ,通过计算机输入处理过的标准化数据 ,采用主成分分析法筛选出影响水稻土生产力的 8个主导因子 ,再应用回归分析对这 8个入选因子进行全回归分析得出回归方程 ,用这 8个入选因子的回归系数求得其权重以及土种各因子的具体评价指数 ,最后进一步对所有土种进行综合评价并进行归类分等 ,评价结果与实际完全一致更多还原

【Abstract】 The writer fuse principal component analysis and regression analysis into the assessment of paddy soil. The writer choose 24 typical soil species,13 variables(assessment items),and digitize the physical and chemical properties of the soil species. The main factors affecting the productive forces which are selected by principal component analysis are applied to the enter regression.The regression coefficients of the selected factors are used to obtain their weighs and specific assessment indexes.Then the writers assess all the soil species comprehensively and classify them into three grades.The result tallies with the actual situation.更多还原