DocumentCode :
1791198
Title :
The Spatial-Temporal Evolution Research of Yunnan Central Urban Agglomeration´s County-Level Economic Structure Based on GIS
Author :
Niu Lede ; Ke Changli ; Xiong Liran ; Jiang Meiying ; Wang Dali
fYear :
2014
fDate :
25-26 Oct. 2014
Firstpage :
847
Lastpage :
850
Abstract :
Through taking the county level as the unit, per capita GDP, net income of the rural households and disposable income of urban residents as the evaluation indexes, and 42 counties in Yunnan central urban agglomeration as the research objects, the spatial-temporal pattern difference of Yunnan central urban agglomeration´s economy from 2002 to 2011 is studied in this paper based on Geoda and ArcGIS analytical technology and spatial statistical analysis. Through the research on the global evolution and local evolution of the economic spatial structure with spatial autocorrelation method, the results show that since 2002, the economy in Yunnan Central urban agglomeration area has developed rapidly, centered on Kunming and based on the axes of Kunming-Qujing, Kuming-Yuxi and Kunming-Chuxiong, the economic structure has developed in counter radiation way, and driven the rapid development of the Yunnan Central economy.
Keywords :
economic indicators; geographic information systems; microeconomics; social sciences computing; statistical analysis; ArcGIS analytical technology; GIS; Geoda; Kuming-Yuxi; Kunming-Chuxiong; Kunming-Qujing; Yunnan Central economy; Yunnan central urban agglomeration; county-level economic structure; economic spatial structure global evolution; economic spatial structure local evolution; per capita GDP; rural households net income; spatial autocorrelation method; spatial statistical analysis; spatial-temporal evolution research; urban residents disposable income; Cities and towns; Correlation; Economic indicators; Indexes; Software; Statistical analysis; Yunnan Central urban agglomeration area; county-level economy; spatial autocorrelation; spatial-temporal evolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
Type :
conf
DOI :
10.1109/ICICTA.2014.203
Filename :
7003666
Link To Document :
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