Analysis on the Spatial Distribution of Logistics Industry in South China

Author

Zhang, Zhen

Author_Institution

Dept. of Comput. Sci., Jinan Univ., Guangzhou, China

fYear

2011

fDate

8-9 Oct. 2011

Firstpage

54

Lastpage

56

Abstract

We apply methods of exploratory spatial data analysis (ESDA) to examine variation in logistics industry in south China based on the characteristics of regional logistics. This paper investigates the regional disparities at city level in south China by global and local spatial autocorrelation analysis, with the support of Arc Map and Geoda software. It visualizes the regional distribution of logistics industry by box map, and analyzes the statistical data of south China logistic industry by Moran´s I scatter plots and Local Indicators of Spatial Association (LISA) map. The results show that the Moran´s I for per capita GDP is higher than that for logistics industry in south China. The paper has derived some implications for policy makers at the end.

Keywords

cartography; data analysis; data visualisation; logistics data processing; service industries; statistical analysis; Arc Map; Geoda software; Moran I scatter plots; South China; box map; exploratory spatial data analysis; global spatial autocorrelation analysis; local indicators of spatial association map; local spatial autocorrelation analysis; logistics industry; regional distribution visualization; regional logistics characteristics; spatial distribution; statistical data analysis; variation examination; Cities and towns; Correlation; Economic indicators; Industries; Logistics; Presses; ESDA; logistics employees; logistics industry; spatial distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4577-1788-8

Type

conf

DOI

10.1109/KAM.2011.22

Filename

6137576