Population patterns in World’s administrative units

Whereas there has been an extended discussion concerning city population distribution, little has been said about that of administrative divisions. In this work, we investigate the population distribution of second-level administrative units of 150 countries and territories and propose the discrete...

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Main Authors: Oscar Fontanelli, Pedro Miramontes, Germinal Cocho, Wentian Li
Format: Article
Language:English
Published: The Royal Society 2017-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.170281
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spelling doaj-b1821c00f5dd43edb3c0e530f956b75b2020-11-25T04:05:20ZengThe Royal SocietyRoyal Society Open Science2054-57032017-01-014710.1098/rsos.170281170281Population patterns in World’s administrative unitsOscar FontanelliPedro MiramontesGerminal CochoWentian LiWhereas there has been an extended discussion concerning city population distribution, little has been said about that of administrative divisions. In this work, we investigate the population distribution of second-level administrative units of 150 countries and territories and propose the discrete generalized beta distribution (DGBD) rank-size function to describe the data. After testing the balance between the goodness of fit and number of parameters of this function compared with a power law, which is the most common model for city population, the DGBD is a good statistical model for 96% of our datasets and preferred over a power law in almost every case. Moreover, the DGBD is preferred over a power law for fitting country population data, which can be seen as the zeroth-level administrative unit. We present a computational toy model to simulate the formation of administrative divisions in one dimension and give numerical evidence that the DGBD arises from a particular case of this model. This model, along with the fitting of the DGBD, proves adequate in reproducing and describing local unit evolution and its effect on the population distribution.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.170281population distributionadministrative unitspower lawszipf’s law
collection DOAJ
language English
format Article
sources DOAJ
author Oscar Fontanelli
Pedro Miramontes
Germinal Cocho
Wentian Li
spellingShingle Oscar Fontanelli
Pedro Miramontes
Germinal Cocho
Wentian Li
Population patterns in World’s administrative units
Royal Society Open Science
population distribution
administrative units
power laws
zipf’s law
author_facet Oscar Fontanelli
Pedro Miramontes
Germinal Cocho
Wentian Li
author_sort Oscar Fontanelli
title Population patterns in World’s administrative units
title_short Population patterns in World’s administrative units
title_full Population patterns in World’s administrative units
title_fullStr Population patterns in World’s administrative units
title_full_unstemmed Population patterns in World’s administrative units
title_sort population patterns in world’s administrative units
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2017-01-01
description Whereas there has been an extended discussion concerning city population distribution, little has been said about that of administrative divisions. In this work, we investigate the population distribution of second-level administrative units of 150 countries and territories and propose the discrete generalized beta distribution (DGBD) rank-size function to describe the data. After testing the balance between the goodness of fit and number of parameters of this function compared with a power law, which is the most common model for city population, the DGBD is a good statistical model for 96% of our datasets and preferred over a power law in almost every case. Moreover, the DGBD is preferred over a power law for fitting country population data, which can be seen as the zeroth-level administrative unit. We present a computational toy model to simulate the formation of administrative divisions in one dimension and give numerical evidence that the DGBD arises from a particular case of this model. This model, along with the fitting of the DGBD, proves adequate in reproducing and describing local unit evolution and its effect on the population distribution.
topic population distribution
administrative units
power laws
zipf’s law
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.170281
work_keys_str_mv AT oscarfontanelli populationpatternsinworldsadministrativeunits
AT pedromiramontes populationpatternsinworldsadministrativeunits
AT germinalcocho populationpatternsinworldsadministrativeunits
AT wentianli populationpatternsinworldsadministrativeunits
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