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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Published in: | Proceedings of the National Academy of Sciences - PNAS Vol. 117; no. 12; pp. 6469 - 6475 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
National Academy of Sciences
24-03-2020
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Subjects: | |
Online Access: | Get full text |
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Summary: | 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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by Jose A. Scheinkman, Columbia University, New York, NY, and approved February 11, 2020 (received for review July 31, 2019) Author contributions: T.M., T.E.S., and W.-T.H. designed research, performed research, analyzed data, and wrote the paper. |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.1913014117 |