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武陵山片区县域经济的空间差异分析
引用本文:马友平,谭世明,吕宗耀,冯仲科.武陵山片区县域经济的空间差异分析[J].测绘科学,2018(3):58-64,70.
作者姓名:马友平  谭世明  吕宗耀  冯仲科
作者单位:湖北民族学院林学园艺学院,湖北恩施,445000 湖北民族学院经济与管理学院,湖北恩施,445000 北京林业大学测绘与3S技术中心,北京,100083
基金项目:国家自然科学基金项目,鄂西生态文化旅游研究中心、国家连片特困地区(武陵山片区)农村贫困问题重点研究基地招标课题(2015年)
摘    要:针对武陵山片区县域经济的空间特征差导分析问题,该文获取了片区内71个县市区2010—2013年间的人均GDP和人口数据;在ArcGIS中建立了以县域为界线的行政区划图,分别应用探索性空间数据分析方法、泰尔指数、NICH指数分析了县域经济的空间差异,结果表明:在2010—2013年间县域经济呈空间正相关;类型以"传染"型县域为主,主要分布在湖南、贵州片区内;县域经济类型比较平稳,仅有少数县域经济类型波动剧烈。片区内首位县域不明显,4年间县域经济差异变化总体趋于平稳,呈微缩小趋势;湖北片区内差异最大,重庆片区内保持平稳状态。相对而言湖北、重庆片区为经济高增长型县域集聚区。

关 键 词:武陵山片区  县域经济  空间差异  空间自相关  Wuling  Mountain  Chip  Area  county  economy  spatial  difference  spatial  autocorrelation

Spatial difference analysis on county economy in Wuling Mountain chip area
MA Youping,TAN Shiming,LV Zongyao,FENG Zhongke.Spatial difference analysis on county economy in Wuling Mountain chip area[J].Science of Surveying and Mapping,2018(3):58-64,70.
Authors:MA Youping  TAN Shiming  LV Zongyao  FENG Zhongke
Abstract:In order to research spatial character of county economics in Wuling Mountain Area,Spatial difference of County economy was conducted by exploratory spatial data analysis,Theil index and NICH index respectively,based on GDP per capita and population data of 71 counties in Wuling Mountain Area from 2010 to 2013 and administrative map of county boundaries In ArcGIS.The results showed that:County economy per capita GDP was positively correlated to expanse in Wuling Mountain chip area from 2010 to 2013."Contagious" county economy was the main type of County economy,there is most of this type among Hunan and Guizhou chip area of Wuling Mountain Area,few county economy were fluctuated intensely.Despite economic differences among counties generally stabilized and the difference of Per capita GDP of counties slightly shrink from 2010 to 2013,the first county in the chip area is not obvious.The maximum difference of county economy among chip areas in Hubei and smooth difference of county economy among chip areas in Chongqing.High-growth counties showed the characteristics of Hubei and Chongqing gathering.
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