| 川东北地区人口分布特征及影响因素分析 |
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| 引用本文： | 郭金铭,袁天凤,朱晓霞,高勇.川东北地区人口分布特征及影响因素分析[J].乐山师范学院学报,2013(8):100-103. |
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| 作者姓名： | 郭金铭 袁天凤 朱晓霞 高勇 |
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| 作者单位： | [1]内江师范学院地理与资源科学学院,内江641100 [2]四川师范大学地理与资源科学学院,成都610101 [3]四川师范大学历史文化与旅游学院,成都610101 |
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| 摘 要： | 采用探索性空间数据分析(ESDA)方法,基于GeoDA-GIS平台,以县为研究单元,对2010年川东北县域人口空间分布进行研究,揭示了川东北地区人口空间分异特征。结果表明:川东北地区县域人口密度分布差异较大,且存在较强的空间自相关性,全局Moran’sI=0.41,表明县域人口分布存在显著的空间聚集特征;局部空间自相关分析的moran散点图、moran聚集图和LISA聚集图更加具体地展示了人口空间聚集的局部特征。通过关联分析,发现高程、交通条件、人均GDP等是影响川东北地区人口分布的主要因素。
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| 关 键 词： | 人口分布 空间自相关 影响因素 |
On the Population Distribution and the Influencing Factors in Northeast Sichuan |
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| GUO Jinming,YUAN Tianfeng,ZHU Xiaoxia,GAO Yong.On the Population Distribution and the Influencing Factors in Northeast Sichuan[J].Journal of Leshan Teachers College,2013(8):100-103. |
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| Authors: | GUO Jinming YUAN Tianfeng ZHU Xiaoxia GAO Yong |
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| Institution: | 1. School of Geography and Resources, Neijiang Normal University, Neijiang Sichuan 641112; 2. School of Geography and Recourse Sciences, Sichuan Normal University, Chengdu Sichuan 610101 ; 3. School of Historical Culture and Tourism, Sichuan Normal University, Chengdu, Sichuan 610101 ) |
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| Abstract: | Using Exploratory spatial data analysis （ESDA） method, based on GeoDA-GIS platform, by taking county as the research unit, the article studies the population＇s spatial distribution of northeastern Sichuan counties. The study reveals the population＇s spatial differentiation characteristics of northeastern Sichuan. The result shows that the population＇s density distribution in northeastern Sichuan is quite different and with a strong spatial autocorrelation, global Moran＇s I = 0.41shows that there is a significant spatial aggregation in the county＇s population distribution; and the analysis of Moran scatter plot, Moran gathered diagram and the LISA gathered diagram of the local spatial autocorrelation shows a more specific local characteristics of the population＇s spatial aggregation. By association elevation, location, per capita GDP are the main factors to affect the northeastern Sichuan. analysis, this paper finds that population＇s distribution of the |
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| Keywords: | Population Distribution Spatial Autocorrelation Influencing Factors |
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