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Proceedings Paper

The application of ESDA and GIS in analysis of regional rural economic
Author(s): Wei-hua Liao
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Paper Abstract

This paper introduced basic theory of global and local spatial autocorrelation analysis of Exploratory Spatial Data Analysis(ESDA), and analysis the application of ESDA method for regional rural economic. it is investigated the spatial dynamics of regional disparities at the county (city) level in Guangxi by analyzing rural per capita net income data in 2007, with the support spatial statistical analysis module of ArcGIS. Empirical results show that the overall county(city) level spatial disparities of rural per capita net income in Guangxi is great in 2007, and the global Moran'S I is 0.44051, which indicates that there are significant positive spatial autocorrelation. That is, the relatively high(1ow) developed county tends to be located nearby other high(1ow) developed counties more often than expected due to random chance. Local Moran's I scatterplot and LISA (Local Indicators of Spatial Association) cluster map have been used to test the local pattern of the Guangxi rural economic development.

Paper Details

Date Published: 10 July 2009
PDF: 6 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910F (10 July 2009); doi: 10.1117/12.836405
Show Author Affiliations
Wei-hua Liao, Guangxi Univ. (China)

Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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