Spatial geographic information variance analysis in Anhui Province

被引:0
|
作者
Zhu, Jie [1 ,2 ]
Chang, Zhanqiang [1 ,2 ]
Liu, Xiaomeng [1 ,2 ]
Yu, Wen [1 ,2 ]
Wang, Wei [1 ,2 ]
机构
[1] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
[2] Minist China, Key Lab Informat Acquisit Educ 3D, Beijing 100048, Peoples R China
来源
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) | 2016年 / 67卷
关键词
Geographic Information; Industrial Competitiveness; Principal Component Analysis;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Regional industry competition is a momentous aspect of regional geographic information engineering. It is quite vital to investigate industrial competitiveness in both theoretical and practical fields. In this paper, the principle and procedure of principal component analysis (PCA) were respectively introduced in detail. The empirical study and comparative analysis of the regional economic competitiveness was conducted by setting some economic indicators. At the same time, SPSS software was applied to extract available geographic information elements which indirectly reflected the enhancement of industrial competitiveness. By analyzing and comparing the economic development of the 16 cities during 2013, we sought out the primary geographic elements affecting the growth trend, and then calculated the overall score of each city in Anhui Province according to comprehensive evaluation model. The results of spatial analysis indicated that the overall score was consistent with each city's economic strength. The analysis in this paper certainly makes sense to provide theoretical reference and practical value for overall economic strength and sustainable regional construction.
引用
收藏
页码:552 / 557
页数:6
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