生态与农村环境学报 ›› 2009, Vol. 25 ›› Issue (2): 30-33.doi: CNKI:SUN:NCST.0.2009-02-007

• 论文 • 上一篇    下一篇

基于Voronoi图的农村居民点空间分布特征及其影响因素研究——以北京市昌平区为例

刘仙桃, 郑新奇, 李道兵   

  1. 中国地质大学土地科学技术学院
  • 收稿日期:2008-09-16 出版日期:2009-04-25 发布日期:2011-04-08
  • 通讯作者: 郑新奇 中国地质大学土地科学技术学院 E-mail:zxqsd@126.com
  • 作者简介:刘仙桃(1982-),女,湖北监利人,硕士生,主要从事土地资源管理、GIS应用研究。E-mail:taozi_liu99@163.com
  • 基金资助:

    国家社会科学基金(07BZZ015);国家科技支撑项目(2006BAB15B03、2006BAB15B06、2006BAJ05A03);2007年度国土资源部百名优秀科技人才计划(2007RC13);中国地质大学(北京)人才基金(51900912300)

Voronoi Diagram-Based Research on Spatial Distribution Characteristics of Rural Settlements and Its Affecting Factors——A Case Study of Changping District,Beijing

LIU  Xian-Tao, ZHENG  Xin-Qi, LI  Dao-Bing   

  1. School of Land Science and Technology,China University of Geosciences
  • Received:2008-09-16 Online:2009-04-25 Published:2011-04-08
  • Contact: ZHENG Xin-Qi School of Land Science and Technology,China University of Geosciences E-mail:zxqsd@126.com

摘要: 采用GIS查询统计与Voronoi图CV值相结合的分析方法,研究了地形、公路及河流等环境因素对北京市昌平区农村居民点空间分布特征的影响。结果表明:地形是影响农村居民点空间分布的主导因素,平原地区农村居民点用地比例较高,规模较大,密度较高;山区农村居民点用地比例较低,规模相对较小,密度也较低。公路交通是影响农村居民点空间分布的重要因素,91.19%的农村居民点分布在距离主要公路距离小于1500m的范围内;河流对农村居民点分布也有一定影响,距离河流越远,农村居民点密度越低。

关键词: Voronoi图, 农村居民点, 空间分布特征, 影响因素

Abstract: Combining GIS with CV value,the influences of environmental factors,like terrain,roads and rivers,on spatial distribution characteristics of rural settlements in Changping District of Beijing Municipality have been addressed.Results show that terrain is a leading factor.On plains,the rural settlements are quite large in scale and high in density,occupying a high proportion of the land,while in mountainous areas they form a contrast.Road is an important factor affecting distribution of settlements in the rural areas.About 91.19% of the rural settlements are located within the distance of 1 500 m from main highways.River is another factor.The farther away from a river,the less the density of settlements.

Key words: Voronoi diagram, rural settlement, spatial distribution characteristics, influencing factor

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