Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)

Spatial Disparity Analysis of Inner Mongolia Based on GIS

Authors
Liu Xiaoliang, Jia Zhiyang, Liu Wanli
Corresponding Author
Liu Xiaoliang
Available Online September 2015.
DOI
10.2991/iea-15.2015.123How to use a DOI?
Keywords
spatial disparity analysis; inner Mongolia; GIS; ESDA; PCA; SPSS
Abstract

With the application of Geographic Information Systems (GIS) and Exploratory Spatial Data Analysis (ESDA) techniques, twelve criteria indicating the county economic strength of Inner Mongolia are selected to evaluate an analysis and discussed its causes on the spatial disparity. In order to make the factor analysis, principal component analysis (PCA) is performed by the SPSS software. Conclusions concerning global spatial autocorrelation analysis and local spatial autocorrelation analysis are studied. Some significant graphs and charts are demonstrated according to statistics of the results.

Copyright
© 2015, 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 AASRI International Conference on Industrial Electronics and Applications (2015)
Series
Advances in Engineering Research
Publication Date
September 2015
ISBN
10.2991/iea-15.2015.123
ISSN
2352-5401
DOI
10.2991/iea-15.2015.123How to use a DOI?
Copyright
© 2015, 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

TY  - CONF
AU  - Liu Xiaoliang
AU  - Jia Zhiyang
AU  - Liu Wanli
PY  - 2015/09
DA  - 2015/09
TI  - Spatial Disparity Analysis of Inner Mongolia Based on GIS
BT  - Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)
PB  - Atlantis Press
SP  - 500
EP  - 504
SN  - 2352-5401
UR  - https://doi.org/10.2991/iea-15.2015.123
DO  - 10.2991/iea-15.2015.123
ID  - Xiaoliang2015/09
ER  -