Title :
The analysis of economic spatial characteristics of Beijing-Tianjin-Hebei metropolitan region based on GIS
Author :
Lian, Jian ; Gong, Huili ; Li, Xiaojuan ; Sun, Yonghua ; Zhao, Wenhui ; Zhu, Lin
Author_Institution :
Key Lab. of 3D Inf. Acquisition & Applic., Capital Normal Univ., Beijing, China
Abstract :
The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, we take the Beijing-Tianjin-Hebei metropolitan region as research object and take the county administrative division as the basic research units. Considering the spatial characteristics, the exploratory spatial data analysis method of GIS is introduced, which includes global spatial autocorrelation and local spatial autocorrelation methods. Through constructing spatial weight matrix and analyzing a series of indexes which contain Moran I index, Moran Scatter Plot and LISA and so on, the economy spatial distribution of Beijing-Tianjin-Hebei metropolitan region over 2001~2006 is obtained from the spatial interactive angle, and the spatial autocorrelation and spatial heterogeneity among counties are revealed.
Keywords :
data analysis; economics; geographic information systems; matrix algebra; Beijing-Tianjin-Hebei metropolitan region; GIS; LISA; Moran I index; Moran Scatter Plot; county administrative division; economic spatial characteristics; exploratory spatial data analysis method; global spatial autocorrelation method; local spatial autocorrelation method; regional economic disparity; spatial heterogeneity; spatial interactive angle; spatial weight matrix; Autocorrelation; Cities and towns; Data analysis; Data visualization; Econometrics; Environmental economics; Geographic Information Systems; Information analysis; Statistics; Sun; Beijing-Tianjin-Hebei Metropolitan Region; GIS; economic growth; spatial characteristics;
Conference_Titel :
Geoinformatics, 2009 17th International Conference on
Conference_Location :
Fairfax, VA
Print_ISBN :
978-1-4244-4562-2
Electronic_ISBN :
978-1-4244-4563-9
DOI :
10.1109/GEOINFORMATICS.2009.5293438