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基于Google earth的城市人口密度研究——以广东清远为例
  • ISSN号:1001-5221
  • 期刊名称:《热带地理》
  • 时间:0
  • 分类:C922[社会学—人口学;经济管理] K901[历史地理—人文地理学]
  • 作者机构:[1]南京大学地理学院城市与区域规划系,南京210093
  • 相关基金:国家自然科学基金项目(40301014)
中文摘要:

引入Google Earth软件,讨论了一种快速、免费、便捷的研究城市人口密度的方法,该思路与方法在缺乏基础资料(如城市地形图、研究区域人口等数据)时能够作为一种有效的分析手段。文中通过获取各类地物信息,将土地利用、道路、建筑物等因素与人口密度建立起对应关系,绘制出研究区域的人口密度分布图,并对人口密度进行分析。此外,根据城市人口分布现状,提出人口引导控制区概念,为城市规划建设、环境保护等提供参考。

英文摘要:

By introducing Google Earth, research on urban population density is discussed to develop a method which is faster and more convenient than traditional ones. This method can be an effective way even in the absence of some basic information (such as urban topographic maps, population data of the area and so on). First, the data is pre-processed to obtain high-definition remote sensing images of the study area. Based on the images, the information of various urban features is obtained through the manual visual method and the population density units are divided. The method has established a correlation between population density, land use, roads, buildings, and other factors. Besides, the population density distribution map is drawn. With a combination of qualitative and quantitative methods population density is analyzed from the proportion and spatial distribution aspects. The results show that lands along some roads and both sides of the Beijiang River have been highly developed, population is highly concentrated in the old city, and green open space is insufficient. Based on the current urban population distribution, this paper puts forward the concept of leading area of population density, divides the city into low, middle, high population density area and flexible area and provides suggestion for city planning and construction, environmental protection etc.

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期刊信息
  • 《热带地理》
  • 北大核心期刊(2011版)
  • 主管单位:广东省科学院
  • 主办单位:广州地理研究所
  • 主编:黄光庆
  • 地址:广州市先烈中路100号大院广州地理研究所
  • 邮编:510070
  • 邮箱:bjb@gdas.ac.cn;rddl@periodicals.net.cn
  • 电话:020-37656954
  • 国际标准刊号:ISSN:1001-5221
  • 国内统一刊号:ISSN:44-1209/N
  • 邮发代号:
  • 获奖情况:
  • 中国科技核心期刊,中国学术期刊综合评价数据库源刊,广东省优秀科技期刊
  • 国内外数据库收录:
  • 美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版)
  • 被引量:10328