2010Yunnan dili huanjing yanjiuRequires access

STUDY ON COUNTY ECONOMIC SPATIAL DISPARITY BASED ON GEODA-GIS IN SICHUAN PROVINCE

Zhang Guo

Open publisher page 1 citations

Abstract

Constructed an index system with 14 indexes which can reflect county economic level adequately,than using the factor analysis method,binding exploratory spatial data analysis method and GeoDA、GIS spatial analyzing technology,and getting the diversity of county economic level in Sichuan province and spatial diversity characteristic.Empirical results show that 181 counties of Sichuan is great in economic difference,the overall characteristic is that developed counties distributing eastern Sichuan basin and developing counties distributing western Sichuan plateau;Global autocorrelation feature is obvious for the global Moran's I is 0.6344,which indicates that spatial cluster is significant in counties' economic level;Analysis on local autocorrelation and Moran cluster map、LISA cluster map indicates the regional economic characteristics of spatial cluster local and distribution specifically and intuitively,which reveals counties' economic hot spot and blind spot deeply of Sichuan province.

About this research paper

What this paper is about

Constructed an index system with 14 indexes which can reflect county economic level adequately,than using the factor analysis method,binding exploratory spatial data analysis method and GeoDA、GIS spatial analyzing technology,and getting the diversity of county economic level in Sichuan province and spatial diversity characteristic.Empirical results show that 181 counties of Sichuan is great in economic difference,the overall characteristic is that developed counties distributing eastern Sichuan basin and developing counties distributing western Sichuan plateau;Global autocorrelation feature is obvious for the global Moran's I is 0.6344,which indicates that spatial cluster is significant in counties' economic level;Analysis on local autocorrelation and Moran cluster map、LISA cluster map indicates the regional economic characteristics of spatial cluster local and distribution specifically and intuitively,which reveals counties' economic hot spot and blind spot deeply of Sichuan province.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Constructed an index system with 14 indexes which can reflect county economic level adequately,than using the factor analysis method,binding exploratory spatial data analysis method and GeoDA、GIS spatial analyzing technology,and getting the diversity of county economic level in Sichuan province and spatial diversity characteristic.Empirical results show that 181 counties of Sichuan is great in economic difference,the overall characteristic is that developed counties distributing eastern Sichuan basin and developing counties distributing western Sichuan plateau;Global autocorrelation feature is obvious for the global Moran's I is 0.6344,which indicates that spatial cluster is significant in counties' economic level;Analysis on local autocorrelation and Moran cluster map、LISA cluster map indicates the regional economic characteristics of spatial cluster local and distribution specifically and intuitively,which reveals counties' economic hot spot and blind spot deeply of Sichuan province.

Key concepts: Geography, Spatial analysis, Cluster (spacecraft), Cartography, Physical geography, Plateau (mathematics), Spatial distribution, Socioeconomics

Related papers

Back to paper searchBrowse research topicsOriginal source
STUDY ON COUNTY ECONOMIC SPATIAL DISPARITY BASED ON GEODA-GIS IN SICHUAN PROVINCE — Research Paper | ScholarLens