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arXiv 1209.5546physics.soc-ph
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基于空间关联函数的城市形态分形分析方法

Fractal Analytical Approach of Urban Form Based on Spatial Correlation Function

Yanguang Chen

摘要:

城市形态已被经验证明具有标度不变性,可以用分形几何来描述。然而,城市分维值的合理取值范围以及各分维指标之间的关系在理论上尚未得到揭示。通过数学推导和变换(如傅立叶变换),发现标度分析、谱分析和空间相关分析都与分形概念相联系,并可整合为城市分形分析的新途径。这种方法可以称为城市形态的3S分析。运用3S分析方法,导出了一组分形参数方程,通过该方程可以将城市的不同分形参数联系起来。每个分形参数都有其合理的取值范围。根据分形参数方程,不同分形参数的合理范围的交集表明,城市格局的分形维数的适当规模,在1.5至2。基于3S分析的分维方程和不同分维参数之间的数值关系有助于地理学家理解城市演变,并可能有助于未来的城市规划。

英文摘要:

Urban form has been empirically demonstrated to be of scaling invariance and can be described with fractal geometry. However, the rational range of fractal dimension value and the relationships between various fractal indicators of cities are not yet revealed in theory. By mathematical deduction and transformation (e.g. Fourier transform), I find that scaling analysis, spectral analysis, and spatial correlation analysis are all associated with fractal concepts and can be integrated into a new approach to fractal analysis of cities. This method can be termed 3S analyses of urban form. Using the 3S analysis, I derived a set of fractal parameter equations, by which different fractal parameters of cities can be linked up with one another. Each fractal parameter has its own reasonable extent of values. According to the fractal parameter equations, the intersection of the rational ranges of different fractal parameters suggests the proper scale of the fractal dimension of urban patterns, which varies from 1.5 to 2. The fractal dimension equations based on the 3S analysis and the numerical relationships between different fractal parameters are useful for geographers to understand urban evolution and potentially helpful for future city planning.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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