摘要
本文主要运用了2013年我国31个主要城市的农林牧副渔业的各产值155个样本横截面数据,本次采用技术路线是用聚类分析将全国31个省份农林牧副渔业发展相似的个体归为一类;其次运用主成分分析来判断在这些城市中农林牧副渔业这五个因素利用聚分析方法将性质相似的个体归为一类;然后用主成分析方法,借助统计软件SPSS,提取出对各省市经济发展影响的主要因素,然后构造主要因素与可控因素之间的线性方程及综合得分函数[1],通过Excel计算出各个因素的综合得分,对统计结果做出合理解释并进行相关总结。
This paper mainly uses the cross-sectional data of 155 samples of the output value of agriculture, forestry , animal husbandry and fishery in 31 major cities of China in 2013. This technical route adopts the cluster analysis to compare the individuals Followed by the use of principal component analysis to determine these five factors in the city of agriculture, forestry, animal husbandry, fishery, animal husbandry, fisheries, animal husbandry and fisheries by using the method of poly-analysis of similar nature of individuals classified as a category;Then the main factors that affect the economic development of provinces and cities are constructed. Then, the linear equation and comprehensive score function between the main factors and controllable factors are constructed. The comprehensive scores of each factor are calculated by Excel. The statistical results are reasonably explained and summarized.
作者
张怡
ZHANG Yi(Kunming University of Science and Technology, Kunming 650093)
出处
《软件》
2019年第1期159-165,共7页
Software
关键词
农林牧副渔业
聚类分析
农业发展
主成分分析
Agriculture, forestry
Animal husbandry and fishery
Cluster analysis
Agricultural development
Principal component analysis
