测绘通报 ›› 2017, Vol. 0 ›› Issue (2): 102-105.doi: 10.13474/j.cnki.11-2246.2017.0059

• 技术交流 • 上一篇    下一篇

基于多距离空间聚类的城市建筑景观时空分异研究

国安东1, 李永化1, 杨俊1,2   

  1. 1. 辽宁师范大学自然地理与空间信息科学辽宁省重点实验室, 辽宁 大连 116029;
    2. 中国科学院地理科学与资源研究所中国科学院陆地表层格局与模拟重点实验室, 北京 100101
  • 收稿日期:2016-11-17 出版日期:2017-02-25 发布日期:2017-03-01
  • 作者简介:国安东(1991-),男,硕士生,主要研究方向为地理信息系统应用。E-mail:Gandong_GIS@163.com
  • 基金资助:

    国家自然科学基金(41471140);辽宁省高等学校杰出青年学者成长计划(LJQ2015058)

Research on Spatial and Temporal Differences of Urban Architectural Landscape Based on Multi-distance Spatial Cluster

GUO Andong1, LI Yonghua1, YANG Jun1,2   

  1. 1. Liaoning Key Laboratory of Physical Geography and Geomatics, Liaoning Normal University, Dalian 116029, China;
    2. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2016-11-17 Online:2017-02-25 Published:2017-03-01

摘要:

以大连市中山区6个街道建筑信息为数据基础,选取建筑景观指标,基于ArcGIS空间统计与多距离空间聚类分析方法研究了各街道10年间建筑景观空间格局分异特征。结果表明:从2003-2013年,各街道建筑景观逐渐由水平向垂直空间扩展,其中青泥洼桥街道、人民路街道及海军广场街道城市建筑景观变化明显突出;2003年4种类型建筑物在尺度为928.68 m时,空间分布上均呈聚集状态,当大于928.68 m时,超高层建筑空间聚集程度降低。到2013年,高层建筑物随尺度的增加聚集程度逐渐减低,低层、多层和超高层建筑在空间分布上均呈一定的聚集状态。

关键词: 多距离空间聚类分析, 建筑景观指标, 时空分异, 中山区

Abstract:

Based on the building information of 6 streets in Zhongshan District of Dalian City,the building landscape index is selected and ArcGIS spatial statistics and multi-distance spatial clustering analysis method is used to study the spatial pattern of architectural landscape in 10 years. The results showed that:(1) From 2003 to 2013,the landscape of the street buildings gradually expanded from horizontal to vertical space, in which Qingniwaqiao street, Renminlun street and Haijunguangchang street changed obviously. (2) When the scale is 928.68 m, the spatial distribution of the four types of buildings are clustered. When it is more than 928.68 m, the spatial aggregation degree of the ultra-tall buildings decreases in 2003. By 2013, high-rise buildings with the increase in the scale of aggregation gradually reduced, low-rise buildings, multistory buildings and ultra-tall buildings in the spatial distribution of a certain aggregation state.

Key words: multi-distance spatial cluster analysis, architectural landscape index, spatial-temporal differentiation, Zhongshan district

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