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Common power laws for cities and spatial fractal structures

City-size distributions are known to be well approximated by power laws across a wide range of countries. But such distributions are also meaningful at other spatial scales, such as within certain regions of a country. Using data from China, France, Germany, India, Japan, and the United States, we f...

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Detalles Bibliográficos
Autores principales: Mori, Tomoya, Smith, Tony E., Hsu, Wen-Tai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104390/
https://www.ncbi.nlm.nih.gov/pubmed/32144142
http://dx.doi.org/10.1073/pnas.1913014117
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author Mori, Tomoya
Smith, Tony E.
Hsu, Wen-Tai
author_facet Mori, Tomoya
Smith, Tony E.
Hsu, Wen-Tai
author_sort Mori, Tomoya
collection PubMed
description City-size distributions are known to be well approximated by power laws across a wide range of countries. But such distributions are also meaningful at other spatial scales, such as within certain regions of a country. Using data from China, France, Germany, India, Japan, and the United States, we first document that large cities are significantly more spaced out than would be expected by chance alone. We next construct spatial hierarchies for countries by first partitioning geographic space using a given number of their largest cities as cell centers and then continuing this partitioning procedure within each cell recursively. We find that city-size distributions in different parts of these spatial hierarchies exhibit power laws that are, again, far more similar than would be expected by chance alone—suggesting the existence of a spatial fractal structure.
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spelling pubmed-71043902020-04-02 Common power laws for cities and spatial fractal structures Mori, Tomoya Smith, Tony E. Hsu, Wen-Tai Proc Natl Acad Sci U S A Social Sciences City-size distributions are known to be well approximated by power laws across a wide range of countries. But such distributions are also meaningful at other spatial scales, such as within certain regions of a country. Using data from China, France, Germany, India, Japan, and the United States, we first document that large cities are significantly more spaced out than would be expected by chance alone. We next construct spatial hierarchies for countries by first partitioning geographic space using a given number of their largest cities as cell centers and then continuing this partitioning procedure within each cell recursively. We find that city-size distributions in different parts of these spatial hierarchies exhibit power laws that are, again, far more similar than would be expected by chance alone—suggesting the existence of a spatial fractal structure. National Academy of Sciences 2020-03-24 2020-03-06 /pmc/articles/PMC7104390/ /pubmed/32144142 http://dx.doi.org/10.1073/pnas.1913014117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Mori, Tomoya
Smith, Tony E.
Hsu, Wen-Tai
Common power laws for cities and spatial fractal structures
title Common power laws for cities and spatial fractal structures
title_full Common power laws for cities and spatial fractal structures
title_fullStr Common power laws for cities and spatial fractal structures
title_full_unstemmed Common power laws for cities and spatial fractal structures
title_short Common power laws for cities and spatial fractal structures
title_sort common power laws for cities and spatial fractal structures
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104390/
https://www.ncbi.nlm.nih.gov/pubmed/32144142
http://dx.doi.org/10.1073/pnas.1913014117
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