Spatial Autocorrelation and Localization of Urban Development

LIU Jisheng; CHEN Yanguang

doi:10.1007/s11769-007-0034-9

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Spatial Autocorrelation and Localization of Urban Development

LIU Jisheng, CHEN Yanguang

文章导航 > Chinese Geographical Science > 2007 > 17(1): 34-39

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. 中国地理科学, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

引用本文:

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. 中国地理科学, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. Chinese Geographical Science, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

Citation:

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. Chinese Geographical Science, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

Spatial Autocorrelation and Localization of Urban Development

doi: 10.1007/s11769-007-0034-9

LIU Jisheng^1,,
CHEN Yanguang²

1.
Department of Geography, Northeast Normal University, Changchun 130024, China;
2.
Department of Geography, Peking University, Beijing 100871, China

基金项目: Under the auspices of the National Natural Science Foundation of China (No.40371039)

详细信息

通讯作者:
LIU Jisheng.E-mail:liujs362@nenu.edu.cn

Spatial Autocorrelation and Localization of Urban Development

LIU Jisheng^1
,,
CHEN Yanguang²

1.
Department of Geography, Northeast Normal University, Changchun 130024, China;
2.
Department of Geography, Peking University, Beijing 100871, China

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.
- urban population density /
- nonlinear spatial autocorrelation /
- Clark’s law /
- localization /
- Hangzhou City
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 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.
- urban population density /
- nonlinear spatial autocorrelation /
- Clark’s law /
- localization /
- Hangzhou City

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Spatial Autocorrelation and Localization of Urban Development

doi: 10.1007/s11769-007-0034-9

LIU Jisheng^1,,
CHEN Yanguang²

1. Department of Geography, Northeast Normal University, Changchun 130024, China;

2. Department of Geography, Peking University, Beijing 100871, China

基金项目: Under the auspices of the National Natural Science Foundation of China (No.40371039)

通讯作者: LIU Jisheng.E-mail:liujs362@nenu.edu.cn

收稿日期: 2006-03-12
修回日期: 2006-12-28
刊出日期: 2007-03-20

关键词:

urban population density /

nonlinear spatial autocorrelation /

Clark’s law /

localization /

Hangzhou City

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.

English Abstract

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. 中国地理科学, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

引用本文:

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. 中国地理科学, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. Chinese Geographical Science, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

Citation:

LIU Jisheng, CHEN Yanguang. Spatial Autocorrelation and Localization of Urban Development[J]. Chinese Geographical Science, 2007, 17(1): 34-39. doi: 10.1007/s11769-007-0034-9

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Spatial Autocorrelation and Localization of Urban Development

doi: 10.1007/s11769-007-0034-9

通讯作者: LIU Jisheng.E-mail:liujs362@nenu.edu.cn

Spatial Autocorrelation and Localization of Urban Development

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出版历程

Spatial Autocorrelation and Localization of Urban Development

doi: 10.1007/s11769-007-0034-9

1. Department of Geography, Northeast Normal University, Changchun 130024, China; 2. Department of Geography, Peking University, Beijing 100871, China

通讯作者: LIU Jisheng.E-mail:liujs362@nenu.edu.cn

English Abstract

Spatial Autocorrelation and Localization of Urban Development

1. Department of Geography, Northeast Normal University, Changchun 130024, China; 2. Department of Geography, Peking University, Beijing 100871, China

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目录

通讯作者:
LIU Jisheng.E-mail:liujs362@nenu.edu.cn

1. Department of Geography, Northeast Normal University, Changchun 130024, China;

2. Department of Geography, Peking University, Beijing 100871, China

1. Department of Geography, Northeast Normal University, Changchun 130024, China;

2. Department of Geography, Peking University, Beijing 100871, China