Fractal Analytical Approach of Urban Form Based on Spatial Correlation Function

TL;DR

This paper introduces a new 3S analytical approach combining scaling, spectral, and spatial correlation analyses to better understand the fractal nature of urban forms and their evolution.

Contribution

It develops a unified fractal analysis method for cities, revealing relationships between fractal parameters and establishing rational ranges for fractal dimensions.

Findings

Fractal dimension of urban patterns ranges from 1.5 to 2.

Derived equations link various fractal parameters.

The approach aids understanding of urban evolution and planning.

Abstract

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.