Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

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Spatial geographic information variance analysis in Anhui Province

Authors
Jie Zhu, Zhanqiang Chang, Xiaomeng Liu, Wen Yu, Wei Wang
Corresponding Author
Jie Zhu
Available Online September 2016.
DOI
10.2991/icence-16.2016.105How to use a DOI?
Keywords
Geographic Information, Industrial Competitiveness, Principal Component Analysis
Abstract

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.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
10.2991/icence-16.2016.105How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Jie Zhu
AU  - Zhanqiang Chang
AU  - Xiaomeng Liu
AU  - Wen Yu
AU  - Wei Wang
PY  - 2016/09
DA  - 2016/09
TI  - Spatial geographic information variance analysis in Anhui Province
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 552
EP  - 557
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.105
DO  - 10.2991/icence-16.2016.105
ID  - Zhu2016/09
ER  -