Spatial Analysis of Cities Using Renyi Entropy and Fractal Parameters
Yanguang Chen, Jian Feng

TL;DR
This paper introduces a novel method combining fractal dimension and spatial entropy to analyze urban spatial distributions, enabling the characterization of both simple and complex city layouts.
Contribution
It generalizes multifractal parameters using a dual relation between Euclidean and fractal geometries, providing new indexes for urban spatial analysis.
Findings
Dummy multifractal indexes effectively describe city distributions.
Application to Hangzhou reveals urban morphological evolution.
Fractal dimension and entropy integration offers a new analysis methodology.
Abstract
The spatial distributions of cities fall into two groups: one is the simple distribution with characteristic scale (e.g. exponential distribution), and the other is the complex distribution without characteristic scale (e.g. power-law distribution). The latter belongs to scale-free distributions, which can be modeled with fractal geometry. However, fractal dimension is not suitable for the former distribution. In contrast, spatial entropy can be used to measure any types of urban distributions. This paper is devoted to generalizing multifractal parameters by means of dual relation between Euclidean and fractal geometries. The main method is mathematical derivation and empirical analysis, and the theoretical foundation is the discovery that the normalized fractal dimension is equal to the normalized entropy. Based on this finding, a set of useful spatial indexes termed dummy multifractal…
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