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Lognormal Estimates of Macroregional City-Size Distributions, 1950-1970

Bibliographic Data

ID4142227
AuthorsLee De Cola (0000-0002-3606-057X, West Virginia University, corresponding author)
Year1985
Volume17
Issue12
Pages1637-1652
Publication date1985-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a171637
OpenAlexW2098558861
LanguageEN
Citations received1
References cited31

A three-parameter lognormal model is used to estimate the city-size distribution of the world and of eight UN-defined macroregions. The model is found to fit the data better than the Pareto function, and to provide a powerful means of comparing distributions among regions. Although system concentration (measured by the standard deviation index) is relatively stable in Europe and in the world at large, it is decreasing in North America, Africa, and East Asia, and increasing in Latin America and South Asia. Cities in the 250000-500000 size class are somewhat more numerous than predicted, suggesting the possibility of some kind of 'optimum'. The theory of extreme values is used to predict the most populous city of a region and to compare predictions with actual maxima, demonstrating that the largest cities in the world are well within systematic possibilities

Econometrics · Extreme value theory · Generalized Pareto distribution · Geography · Log-normal distribution · Maxima · Standard deviation · Statistics · History · Land Use and Ecosystem Services · Local Government Finance and Decentralization · Mathematics · Regional Economics and Spatial Analysis

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Unique citing works1
Citations per year0,03
Citation span1988 - 1988 (1)
Citation velocityhistorical
Highly citedNo

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