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俄罗斯人口分布及其空间格局演化 被引量:22

Spatial Distribution of Population in Russia and Its Evolution
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摘要 通过收集俄罗斯历年人口普查资料统计数据,运用空间自相关模型(Getis-OrdGi指数和Local Moran’s I指数)探讨了俄罗斯欧洲部分人口分布及演化时空特征。结果显示:俄罗斯人口集中在靠近欧洲的地区,东部地区人口稀少,人口分布具有西稠东稀的空间格局;在伏尔加河沿岸地区和乌拉尔地区南部形成人口高密度集聚区,西伯利亚西部、西北联邦区,以及南方联邦区和北高加索联邦区形成人口冷点区及次冷点区(低集聚);从联邦主体(省域)变化趋势上看,1991—2012年俄罗斯93个联邦主体在总体上人口不均匀性的空间格局多年来保持相对稳定,但在中央联邦区与伏尔加河沿岸区高集聚区的一级行政单元个数逐渐增加,并形成了一个人口高度集聚的地带。 Russia is a typical small sparsely populated country which has the world' s largest land area. The country' s total population decreased faster population situation continued to deteriorate after the disintegration of the USSR in 1991. At present the Russian federal subjects by the 83 units, which are the first class administrative units of Russia and play an im- portant role in the process of Russia' s social and economic development. Firstly,with the Russian 83 federal subjects as the object to analysis the Russian' s population size structure of the overall scale in Russia. TheGetis-OrdGi * index and The Local Moran' s I index are then employed to investigate the spatial-temporal evolution of population distribution in Russian' s European region from 1990 to 2012. Major conclusions can be drawn as follows: (1) The population distribu- tion in Russia is unbalanced;Russia' s population distribution is mainly concentrated in the regions of European Russia, whilesparsely populated eastern region. (2)There is a certain spatial relevance of population distribution in Russia' s Eu- rope region,hotspots in the Volga region and southern region of Urals ;Western Siberia,Northwestern Federal District, as well as the Southern Federal District and the North Caucasus Federal District Population cold spots forming cold spots district. (3)Population concentration in the region of St. Petersburg, Nizhny Novgorod, and Kursk State for the vertex of the triangle, and the interactionhas become strongerin the high concentration triangle area-
作者 李莎 刘卫东
出处 《经济地理》 CSSCI 北大核心 2014年第2期42-49,共8页 Economic Geography
关键词 人口分布 时空演变 空间自相关 俄罗斯 spatial pattern spatial-temporal evolution spatial autocorrelation Russia
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