| Spatial Autocorrelation and Localization of Urban Development |
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| 作者姓名： | LIU Jisheng CHEN Yanguang |
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| 作者单位： | 1. Department of Geography，Northeast Normal University，Changchun 130024，China; 2. Department of Geography，Peking University，Beijing 100871，China |
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| 摘 要： | A nonlinear analysis of urban evolution is made by using of spatial autocorrelation theory. A first-order nonlinear autoregression model based on Clark’s negative exponential model is proposed to show urban population density. The new method and model are applied to Hangzhou City, China, as an example. The average distance of population activities, the auto-correlation coefficient of urban population density, and the auto-regressive function values all show trends of gradual increase from 1964 to 2000, but there always is a sharp first-order cutoff in the partial auto- correlations. These results indicate that urban development is a process of localization. The discovery of urban locality is significant to improve the cellular-automata-based urban simulation of modeling spatial complexity.
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| 关 键 词： | urban population density nonlinear spatial autocorrelation Clark’s law localization Hangzhou City |
| 收稿时间： | 2006-03-12 |
| 修稿时间： | 2006-12-28 |
Spatial autocorrelation and localization of urban development |
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| LIU Jisheng CHEN Yanguang.Spatial Autocorrelation and Localization of Urban Development[J].Chinese Geographical Science,2007,17(1):34-39. |
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| Authors: | Liu Jisheng Chen Yanguang |
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| Institution: | (1) Department of Geography, Northeast Normal University, Changchun, 130024, China;(2) Department of Geography, Peking University, Beijing, 100871, China |
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| Abstract: | A nonlinear analysis of urban evolution is made by using of spatial autocorrelation theory. A first-order nonlinear autoregression
model based on Clark’s negative exponential model is proposed to show urban population density. The new method and model are
applied to Hangzhou City, China, as an example. The average distance of population activities, the auto-correlation coefficient
of urban population density, and the auto-regressive function values all show trends of gradual increase from 1964 to 2000,
but there always is a sharp first-order cutoff in the partial autocorrelations. These results indicate that urban development
is a process of localization. The discovery of urban locality is significant to improve the cellular-automata-based urban
simulation of modeling spatial complexity.
Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 40371039) |
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| Keywords: | urban population density nonlinear spatial autocorrelation Clark's law localization Hangzhou City |
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