| 中国城镇体系空间分布特征及其变化 |
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| 引用本文： | 杨国安,甘国辉.中国城镇体系空间分布特征及其变化[J].地球信息科学,2004,6(3):12-18. |
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| 作者姓名： | 杨国安 甘国辉 |
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| 作者单位： | 中国科学院地理科学与资源研究所,北京,100101;中国科学院研究生院,北京,100039;中国科学院地理科学与资源研究所,北京,100101 |
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| 摘 要： | 城镇体系空间结构是人类活动区位选择的必然结果。通过对我国城镇密度、最邻近距离和空间自相关等定量研究,对我国城镇体系的空间结构进行了分析,从中发现中国城镇网络的密度在增大,东、中、西部发展的差距有进一步扩大趋势,城镇体系的空间联系有所加强。
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| 关 键 词： | 城镇体系 空间分布 空间自相关 |
| 收稿时间： | 2004-01-17; |
| 修稿时间： | 2004年1月17日 |
Spatial Characteristic and its Change of Urban System in China |
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| YANG Guoan.Spatial Characteristic and its Change of Urban System in China[J].Geo-information Science,2004,6(3):12-18. |
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| Authors: | YANG Guoan |
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| Institution: | 1. Institute of Geographic Sciences and Natural Resources Reseorch, CAS, Beijing 100101, China;
2. Graduate School of CAS, Beijing 100039, China |
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| Abstract: | The spatial pattern of urban system is the result of the location selection mainly through the economicactivities and the population migration in history.Analyzed by some quantitative methods,such as density con-trast,nearest distance comparison and the spatial autocorrelation of city distribution,this paper finds out that thecity density becomes increasingly high,however,the difference between the three economic belts still exists andthe gap of urban development between them becomes wider and wider,though the spatial contact enhanced be-tween 1985 and 2001.The calculation based on the Moran's I statistics which is a global measurement of spa-tial dependence increased during this period of time indicates that the cities distribution displays a high degreeof spatial autocorrelation in the same period.By drawing Moran's scatterplot based on city distribution in China,this paper obtains a more disaggregated view of the nature of the spatial autocorrelation for the initial and termi-nal years,and by contrast,city distribution and its spatial lag can be displayed apparently.The information en-tropy value implicates there is an equilibrium development trend in China, which is an indication of rapid de-velopment of cities and towns in the period of concerned. |
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| Keywords: | urban system spatial distribution spatial autocorrelation |
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