Renyi's spectra of urban form for different modalities of input data
Mahmoud Saeedimoghaddam, T. F. Stepinski, Anna Dmowska

TL;DR
This study compares the multifractal properties of urban patterns across different data modalities, revealing that urban morphology varies significantly depending on the data used, which impacts urban analysis and planning.
Contribution
It introduces a method using Hill's numbers to calculate Renyi's spectra for various urban data types, providing clearer interpretation and visualization of urban multifractality.
Findings
Land cover and impervious surface patterns are mostly monofractal.
Street intersection patterns are moderately multifractal.
Population density patterns are strongly multifractal.
Abstract
Morphologies of urban patterns display multifractal scaling. However, what data should be used to represent an urban pattern and its scaling? Here, we calculated Renyi's generalized dimensions (RGD) spectra using data corresponding to different urban modalities including urban land cover, urban impervious surface, population density, and street intersection points. All data are circa 2010 and we calculated their RGD spectra in six urbanized areas located across the United States. We calculated the RGD spectra by using Hill's numbers rather than statistical moments which leads to a clear interpretation of generalized dimensions and to spatial visualization of pattern's multifractality. The results show that patterns of different urban modalities in a given urbanized area are characterized by different RGD spectra and thus have different morphologies. In our six examples, we found that…
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