基于主成分分析法的粮食种植面积影响因素研究  

Study on Influencing Factors of Grain Planting Area Based on Principal Component Analysis

作　　者：唐庆 陈国华[1] 李军成[1] TANG Qing;CHEN Guo-hua;LI Jun-cheng(Hunan University of Humanities, Science and Technology, Loudi,Hunan 417000)

机构地区：[1]湖南人文科技学院,湖南娄底417000

出　　处：《安徽农业科学》2019年第8期215-218,共4页Journal of Anhui Agricultural Sciences

基　　金：湖南省教育厅资助科研项目(12A077);湖南省普通高等学校教学改革研究项目(湘教通[2014]247号NO.507)

摘　　要：通过对相关数据进行整合分析,选取了影响我国粮食种植面积的12个因素进行研究。首先采集2008—2014年的有关数据,并对各影响因素与粮食种植面积的相关性以及各影响因素之间的相关性进行了分析,然后利用主成分分析法构建出粮食种植面积与12个影响因素的数学模型。由计算结果可知,利用所构建的模型计算出的粮食种植面积值与真实值之间的相对误差较小,表明所选取的12个影响因素是合理有效的。Twelve factors affecting the planting area of grain in China were selected through the integration analysis of the relevant data. First, the relevant data during2008-2014 were collected, and the correlation between the influencing factors and the grain planting area, the correlation between the influencing factors were analyzed. Then the mathematical model of grain planting area and the influencing factors was constructed by using the principal component analysis. Resultsshowed that the relative errors between the computing values and the real values were less, which showed that the selected influencing factors were reasonable and effective.

关 键 词：粮食种植面积 影响因素 相关性分析 主成分分析法 

分 类 号：S-9[农业科学]