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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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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. |
format | Online Article Text |
id | pubmed-7104390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT moritomoya commonpowerlawsforcitiesandspatialfractalstructures AT smithtonye commonpowerlawsforcitiesandspatialfractalstructures AT hsuwentai commonpowerlawsforcitiesandspatialfractalstructures |