地理科学进展

地理科学进展 ›› 2015, Vol. 34 ›› Issue (1): 110-117.doi: 10.11820/dlkxjz.2015.01.013

• GIS应用 • 上一篇    下一篇

2000-2010年广东省流入人口时空差异特征及影响因素

李月娇1,2, 杨小唤1, 蔡红艳1, 余跃飞3   

  1. 1. 中国科学院地理科学与资源研究所资源环境信息系统国家重点实验室, 北京100101;
    2. 中国科学院大学, 北京100049;
    3. 安徽师范大学国土资源与旅游学院, 安徽芜湖241000
  • 收稿日期:2014-05-01 修回日期:2014-10-01 出版日期:2015-01-25 发布日期:2015-01-25
  • 通讯作者: 杨小唤(1965-),研究员,博导,主要从事遥感、GIS应用及人文数据空间集成分析等研究,E-mail:yangxh@lreis.ac.cn。
  • 作者简介:李月娇(1987-),博士研究生,主要从事人文时空数据挖掘研究和资源环境时空数据分析,E-mail:liyuejiao@lreis.ac.cn。
  • 基金资助:
    国家科技支撑计划课题(2012BAI32B06);国家自然科学基金项目(41271173,41301155)。

Spatiotemporal characteristics and influencing factors of inflow population in Guangdong from 2000 to 2010

LI Yuejiao1,2, YANG Xiaohuan1, CAI Hongyan1, YU Yuefei3   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Anhui Normal University, Wuhu 241000, Anhui, China
  • Received:2014-05-01 Revised:2014-10-01 Online:2015-01-25 Published:2015-01-25
  • About author:10.11820/dlkxjz.2015.01.013

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摘要： 广东省自改革开放以来一直是中国流入人口大省,2010 年全国第六次人口普查数据显示,广东省省外流入人口达21497787 人,占广东省总人口的20.61%,在全国省、自治区、直辖市中居第一位。本文以全国第五次、第六次人口普查数据为数据源,选取县级行政单位为分析单元,通过GIS空间分析方法,力图找出广东省流入人口的空间分布格局及时空变化特征,并结合社会经济统计数据和统计降维的技术手段,说明广东省流入人口规模与社会经济发展之间的响应关系,讨论广东省流入人口与当地产业政策调整之间的关系。研究表明:①流入人口数量增多,但分布格局总体稳定,流入人口的聚集度略有下降;②流入人口规模与经济发展关系密切,但分布格局与当地产业转移政策关系明显。

关键词: 广东省, 空间自相关, 流入人口, 时空格局, 影响因素

Abstract: Since the economic reform and opening up, Guangdong Province has been one of the provinces in China that has the largest floating population inflow. Data from the sixth census show that Guangdong had 21497787 inflow population from other provinces, which accounted for 20.61% of the total population in Guangdong in 2010. The number of inflow population in Guangdong ranked the first in all provinces, autonomous regions, and municipalities in China. Using data from the fifth and sixth national population census in 2000 and 2010 and spatial autocorrelation method (global autocorrelation, local autocorrelation, and cold and hot spot analyses), we analyzed the spatial- temporal characteristics and influencing factors of inflow population in Guangdong Province during the first decade of the 21st century. The results show that: (1) From 2000 to 2010, the number of inflow population in Guangdong increased sharply, but the distribution pattern of the inflow population was stable. The concentration of the inflow population slightly decreased from 2000 to 2010. (2) The number of inflow population in Guangdong Province was closely related to economic development, but the distribution pattern had a clear relationship with local industrial transfer policies.

Key words: Guangdong Province, inflow population, influencing factor, spatial autocorrelation, spatiotemporal pattern