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河北联合大学多元统计分析课程论文
学 号:
HEBEI UNITED UNIVERSITY
多元统计
分析论
论文题目:对我国水资源分布及其现状的分析
------基于主成分分析和聚类分析学生姓名: 专业班级: 学 院: 指导教师:
2014年12月 12 日
文
河北联合大学多元统计分析课程论文
摘要:水资源是人类赖以生存的资源,近年来,随着经济的增长,人们对于水
的需求越来越大,而水资源总量在不断减少,我国大部分地区已经出现了水资源不足的现象,局部地区水资源极度缺乏,这警示我们需要防患于未然,对我国水资源基本情况进行了解,据此,本文将对我国的水资源分布及其现状进行分析。 本文主要采用多元统计分析中的主成分分析和聚类分析的分析方法,借助于SPSS软件,初步了解影响水资源的因素,寻找所得因素在我国各个省市中的数据,进行分析,通过分析结果来了解我国的水资源在我国各个省市的分布情况及其现状,进一步给出针对我国水资源分布及其现状的合理意见及建议。
关键词:水资源 分布及现状 省市 主成分分析 聚类分析
Abstract:Water is the survival of human resources.Recently,As the
growth of the economy,People’s of demand for water is growing.However,the number of water is becoming less and less.Most areas in China has appeared the phenomenon of insufficient water resources.Moreover,some areas extreme lack of water resources,which warn us need to nip in the bud to understand the basic water resources situation in our country.On the basis of it this article will analyze the distribution of water resources and its status of our country.
This article,mainly adopting principal component analysis and cluster analysis in multivariate statistical analysis,with the aid of SPSS software,preliminary understanding of the influencing factors of water resources.Finding the factors of data in various provinces and cities in our country,and then,analyzing.By analyzing the results to get to know the distribution of our country's water resources and its present situation in various provinces and cities in our country,eventually,we will give reasonable opinions and suggestions ,aiming at the distribution of our country's water resources and its present situation.
河北联合大学多元统计分析课程论文
目录
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1.引言------------------------------------------------------(1) 2.研究对象--------------------------------------------------(1) 3.数据分析--------------------------------------------------(2) 3.1描述性统计分析-----------------------------------------(2) 3.2主成份分析---------------------------------------------(4) 3.3聚类分析-----------------------------------------------(8) 4.结论------------------------------------------------------(10)
河北联合大学多元统计分析课程论文
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