基于空间分形特征的城市群实体空间识别方法

发布时间：2018-08-18 15:08

【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。
[Abstract]:Urban agglomeration is an important research field in urban geography. It is the premise and foundation of studying urban agglomeration to define and identify the physical space of urban agglomeration. Urban agglomeration is a cluster of many cities and towns. The spatial recognition of urban agglomeration is mainly based on city, but the spatial form of urban agglomeration is not considered. The shape of urban agglomeration entity space has self-similarity, and spatial fractal feature can be used as a representation tool of self-similarity. Through the analysis, recognition and extraction of spatial fractal feature, the objective measure of spatial object based on morphology can be realized. In this paper, the fractal characteristics of urban spatial morphology of urban agglomeration are measured from the spatial minimum identifiable units of different scales, and the objective identification method of urban agglomeration towns is proposed. This method uses the spatial fractal features of cities and towns to identify the towns belonging to the urban agglomeration, and obtains the spatial fractal features of the urban agglomeration towns by the change of spatial minimum identifiable units. On the basis of this, the existence range of spatial fractal features is recognized, and the spatial distribution of urban agglomeration is obtained by mapping it to the recognition of urban agglomeration. This paper applies this method to the Beijing-Tianjin-Hebei urban agglomeration. Based on the 2016 Landsat satellite remote sensing image, it realizes the recognition of the cities and towns formed by the Beijing-Tianjin-Hebei urban agglomeration, and provides a useful attempt to define the physical space of the urban agglomeration.
【作者单位】：中国地质大学(北京)信息工程学院;
【基金】：国家国际科技合作与交流专项(S2015ZR1018)~~
【分类号】：F299.2

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