地理科学进展 ›› 2017, Vol. 36 ›› Issue (6): 677-684.doi: 10.18306/dlkxjz.2017.06.003
出版日期:
2017-06-20
发布日期:
2017-06-20
通讯作者:
郑新奇
E-mail:liufei@escience.cn;zhengxq@cugb.edu.cn
作者简介:
作者简介:刘飞(1989- ),男,博士生,主要研究方向为地理分形与自组织, E-mail:
基金资助:
Fei LIU(), Xinqi ZHENG*(
), Qing HUANG
Online:
2017-06-20
Published:
2017-06-20
Contact:
Xinqi ZHENG
E-mail:liufei@escience.cn;zhengxq@cugb.edu.cn
Supported by:
摘要:
城市群是城市地理学的重要研究领域,对城市群的实体空间进行界定识别是研究城市群的前提和基础。城市群作为众多城镇的集群,前人对城市群的空间识别主要是以城市为单元进行的,缺少对识别单元空间形态的考虑。城市群实体空间的形态具有自相似性,空间分形特征可作为自相似性的表征工具,通过对空间分形特征的分析、识别及提取,可以实现对空间对象基于形态的客观测度。本文借鉴单个城市其边界的相关识别方法,从不同尺度的空间最小可识别单元出发,测度城市群城镇空间形态的分形特征,并据此提出了城市群城镇的客观识别方法。该方法利用城镇的空间分形特征识别归属于城市群的城镇,通过空间最小可识别单元的变化得到不同的城镇规模并获取城市群城镇的空间分形特征,再以此为基础对空间分形特征的存在范围进行识别,将其映射于空间最终实现对城市群城镇的识别,进而得到城市群在空间上的分布状况。本文将该方法应用于京津冀城市群,基于2016年Landsat卫星遥感影像,实现了对京津冀城市群构成城镇的识别,为界定城市群的实体空间提供了一次有益尝试。
刘飞, 郑新奇, 黄晴. 基于空间分形特征的城市群实体空间识别方法[J]. 地理科学进展, 2017, 36(6): 677-684.
Fei LIU, Xinqi ZHENG, Qing HUANG. Identification of the physical space of urban systems based on fractal analysis[J]. PROGRESS IN GEOGRAPHY, 2017, 36(6): 677-684.
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