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Fractal analytical approach of urban form based on spatial correlation function

机译:基于空间相关函数的城市形态分形分析方法

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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 transform (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.
机译:经验证明城市形式具有比例不变性,可以用分形几何来描述。但是,分形维数值的合理范围以及城市中各种分形指标之间的关系在理论上尚未揭示。通过数学推导和变换(例如,傅里叶变换),我发现缩放分析,频谱分析和空间相关性分析都与分形概念相关联,并且可以集成到城市分形分析的新方法中。这种方法可以称为城市形式的“ 3S分析”。通过3S分析,我得出了一组分形参数方程,通过它们可以将城市的不同分形参数相互关联。每个分形参数都有其合理的值范围。根据分形参数方程,不同分形参数的有理范围的交集表明城市格局的分形维数的合适范围为1.5到2。基于3S分析的分形维数方程及其之间的数值关系不同的分形参数对于地理学家了解城市演变很有用,并可能对未来的城市规划有所帮助。

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