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城市形态的分形建模与分形维数描述

Fractal Modeling and Fractal Dimension Description of Urban Morphology.

作者信息

Chen Yanguang

机构信息

Department of Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.

出版信息

Entropy (Basel). 2020 Aug 30;22(9):961. doi: 10.3390/e22090961.

DOI:10.3390/e22090961
PMID:33286730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7597252/
Abstract

The conventional mathematical methods are based on characteristic length, while urban form has no characteristic length in many aspects. Urban area is a scale-dependence measure, which indicates the scale-free distribution of urban patterns. Thus, the urban description based on characteristic lengths should be replaced by urban characterization based on scaling. Fractal geometry is one powerful tool for the scaling analysis of cities. Fractal parameters can be defined by entropy and correlation functions. However, the question of how to understand city fractals is still pending. By means of logic deduction and ideas from fractal theory, this paper is devoted to discussing fractals and fractal dimensions of urban landscape. The main points of this work are as follows. Firstly, urban form can be treated as pre-fractals rather than real fractals, and fractal properties of cities are only valid within certain scaling ranges. Secondly, the topological dimension of city fractals based on the urban area is 0; thus, the minimum fractal dimension value of fractal cities is equal to or greater than 0. Thirdly, the fractal dimension of urban form is used to substitute the urban area, and it is better to define city fractals in a two-dimensional embedding space; thus, the maximum fractal dimension value of urban form is 2. A conclusion can be reached that urban form can be explored as fractals within certain ranges of scales and fractal geometry can be applied to the spatial analysis of the scale-free aspects of urban morphology.

摘要

传统的数学方法基于特征长度,而城市形态在许多方面没有特征长度。城市面积是一种尺度依赖度量,它表明城市形态的无标度分布。因此,基于特征长度的城市描述应该被基于标度的城市特征描述所取代。分形几何是城市尺度分析的有力工具。分形参数可以通过熵和相关函数来定义。然而,如何理解城市分形的问题仍然悬而未决。借助逻辑推导和分形理论的思想,本文致力于探讨城市景观的分形和分形维数。这项工作的要点如下。首先,城市形态可以被视为预分形而非真正的分形,城市的分形特性仅在特定的标度范围内有效。其次,基于城市面积的城市分形的拓扑维数为0;因此,分形城市的最小分形维数值等于或大于0。第三,用城市形态的分形维数代替城市面积,最好在二维嵌入空间中定义城市分形;因此,城市形态的最大分形维数值为2。可以得出结论,在一定的尺度范围内,可以将城市形态作为分形来探索,分形几何可以应用于城市形态无标度方面的空间分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/040fb81ca26d/entropy-22-00961-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/2ca9cd6c4eda/entropy-22-00961-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/60c01ec9e07e/entropy-22-00961-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/040fb81ca26d/entropy-22-00961-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/2ca9cd6c4eda/entropy-22-00961-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/60c01ec9e07e/entropy-22-00961-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/7597252/040fb81ca26d/entropy-22-00961-g003.jpg

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Spatial Measures of Urban Systems: from Entropy to Fractal Dimension.城市系统的空间测度:从熵到分形维数
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