A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization

The method of spectral analysis is employed to research the spatial dynamics of urban population distribution. First of all, the negative exponential model is derived in a new way by using an entropy-maximizing idea. Then an approximate scaling relation between wave number and spectral density is de...

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Main Author: Yanguang Chen
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2008/728420
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author Yanguang Chen
author_facet Yanguang Chen
author_sort Yanguang Chen
collection DOAJ
description The method of spectral analysis is employed to research the spatial dynamics of urban population distribution. First of all, the negative exponential model is derived in a new way by using an entropy-maximizing idea. Then an approximate scaling relation between wave number and spectral density is derived by Fourier transform of the negative exponential model. The theoretical results suggest the locality of urban population activities. So the principle of entropy maximization can be utilized to interpret the locality and localization of urban morphology. The wave-spectrum model is applied to the city in the real world, Hangzhou, China, and spectral exponents can give the dimension values of the fractal lines of urban population profiles. The changing trend of the fractal dimension does reflect the localization of urban population growth and diffusion. This research on spatial dynamics of urban evolvement is significant for modeling spatial complexity and simulating spatial complication of city systems by cellular automata.
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institution Kabale University
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publishDate 2008-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-97c6a3c28eb04affa0077eab63bc43102025-08-20T03:37:08ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2008-01-01200810.1155/2008/728420728420A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial LocalizationYanguang Chen0Department of Urban and Economic Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaThe method of spectral analysis is employed to research the spatial dynamics of urban population distribution. First of all, the negative exponential model is derived in a new way by using an entropy-maximizing idea. Then an approximate scaling relation between wave number and spectral density is derived by Fourier transform of the negative exponential model. The theoretical results suggest the locality of urban population activities. So the principle of entropy maximization can be utilized to interpret the locality and localization of urban morphology. The wave-spectrum model is applied to the city in the real world, Hangzhou, China, and spectral exponents can give the dimension values of the fractal lines of urban population profiles. The changing trend of the fractal dimension does reflect the localization of urban population growth and diffusion. This research on spatial dynamics of urban evolvement is significant for modeling spatial complexity and simulating spatial complication of city systems by cellular automata.http://dx.doi.org/10.1155/2008/728420
spellingShingle Yanguang Chen
A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
Discrete Dynamics in Nature and Society
title A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
title_full A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
title_fullStr A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
title_full_unstemmed A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
title_short A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization
title_sort wave spectrum analysis of urban population density entropy fractal and spatial localization
url http://dx.doi.org/10.1155/2008/728420
work_keys_str_mv AT yanguangchen awavespectrumanalysisofurbanpopulationdensityentropyfractalandspatiallocalization
AT yanguangchen wavespectrumanalysisofurbanpopulationdensityentropyfractalandspatiallocalization