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Study on Spatial Structure Identification of Urban Agglomeration in Central Yunnan Province Based on Fractal Theory

机译:基于分形理论的滇中城市群空间结构识别研究

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This paper took urban agglomeration in the middle of Yunnan Province as a research object, using fractal theory and fractal dimension methods, including aggregation dimension, grid dimension and correlation dimension. ArcGIS and the big data platform of Baidu-Map API were also used to calculate fractal dimension, in order to identify the spatial structure of urban system. There are some findings discovered in this study. Firstly, the density of urban agglomeration in the middle of Yunnan Province is decreasing while taking Kunming as the center. The urban system has a large number of blanks in the coverage of the region, and the potential spatial development of urban agglomeration is huge. Secondly, the capacity dimension is much larger than the information dimension, which shows that the topography of Yunnan High-mountain and Flat-dam restricts the spatial distribution of the urban agglomeration in central Yunnan Province, and the urban agglomeration is still in the primary stage of development. Thirdly, the cow-crow dimension is generally low, showing that the urban agglomeration in central Yunnan Province is limited by natural factors such as topography and water system. The level of traffic correlation needs to be improved. This study provides a reference for the healthy and orderly development of the urban agglomeration in central Yunnan Province, from the degree of aggregation, equilibrium and correlation to identify the spatial structure of urban agglomeration.
机译:本文采用了云南省中部作为研究对象,采用分形理论和分形尺寸方法,包括聚集尺寸,电网维度和相关尺寸。 ArcGIS和百度地图API的大数据平台也用于计算分形尺寸,以确定城市系统的空间结构。本研究中发现了一些发现。首先,云南省中部的城市集群密度在昆明为中心时正在减少。城市系统在该地区的覆盖范围内拥有大量空白,并且城市集聚的潜在空间发展是巨大的。其次,容量维度远大于信息维度,这表明云南高山和扁平坝的地形限制了云南中部城市集群的空间分布,城市集群仍在初级阶段发展。第三,牛乌鸦维度一般较低,表明云南省中部的城市集聚受到地形和水系统等自然因素的限制。需要提高流量相关程度。本研究为云南省中部城市集聚的健康有序发展提供了参考,从聚集,均衡和相关性,以确定城市集群的空间结构。

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