Generating Random Hyperfractal Cities

Fuente: arXiv
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Autores principales: Deperle, Geoffrey, Jacquet, Philippe
Formato: Preprint
Publicado: 2025
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author Deperle, Geoffrey
Jacquet, Philippe
author_facet Deperle, Geoffrey
Jacquet, Philippe
contents This paper focuses on the challenge of interactively modeling street networks. In this work, we extend the simple fractal model, which is particularly useful for describing small cities or individual districts, by constructing random cities based on a tiling structure over which hyperfractals are distributed. This approach enables the connection of multiple hyperfractal districts, providing a more comprehensive urban representation. Furthermore, we demonstrate how this decomposition can be used to segment a city into distinct districts through fractal analysis. Finally, we present tools for the numerical generation of random cities following this model.
format Preprint
id arxiv_https___arxiv_org_abs_2512_01505
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Generating Random Hyperfractal Cities
Deperle, Geoffrey
Jacquet, Philippe
Information Theory
This paper focuses on the challenge of interactively modeling street networks. In this work, we extend the simple fractal model, which is particularly useful for describing small cities or individual districts, by constructing random cities based on a tiling structure over which hyperfractals are distributed. This approach enables the connection of multiple hyperfractal districts, providing a more comprehensive urban representation. Furthermore, we demonstrate how this decomposition can be used to segment a city into distinct districts through fractal analysis. Finally, we present tools for the numerical generation of random cities following this model.
title Generating Random Hyperfractal Cities
topic Information Theory
url https://arxiv.org/abs/2512.01505