人口重心
- 网络population gravity center
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GIS在人口重心迁移研究中的应用
Application of GIS in the Study of the Migration of the Population Gravity Center
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河南省1987-2006年人口重心与经济重心的空间演变及对比分析
Evolvement and Comparative Analysis of Population Gravity Center and Economy Gravity Center from 1987 to 2006 in Henan
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福建省人口重心移动路径及其影响因素的人口学分析
Demography Analysis on the Dynamic Evolvements of Population Gravity Center of Fujian Province
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近20年来中国人口重心与经济重心的演变及其对比分析
Evolvement and Comparative Analysis of the Population Center Gravity and the Economy Gravity Center in Recent Twenty Years in China
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结果表明,甘肃省2004年总体上经济空间差异较大,经济重心与人口重心和几何中心均有较大偏移;
Empirical results show that the center of population and GDP have a significant offset with the center of geometry .
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阻碍、延缓了我国城镇化与农村人口重心转移;
Secondly , it has hindered and delayed our country 's city transformation and the shift of rural population center of gravity ;
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二十年间湖北省人口重心有向西北移动的趋势。②湖北省人口分布的影响因素。
Population center of gravity has a trend to move towards the northwest . Second , the factors affecting population distribution in Hubei province .
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与人口重心相比较,东西方向呈不平衡态势发展,南北方向则开始趋于平衡;
Against the population gravity center : between east and west take on imbalance developing , while between south and north tend to balance ;
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甘肃省人口重心迁移受自然、社会经济和政策等多种因素的影响。
The migration of population gravity center in Gansu province is mainly affected by many factors such as nature , socioeconomic factor and policy , etc.
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城市郊区化是一种城市空间结构的转变,是城市社会的人口重心、经济活动和政治影响力由城市中心区向外围地区的转移过程。
City suburbanization is a change of city 's spacial structure and a process of population , political and economic center movement form downtown to suburbs .
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与人口重心相比,安徽省经济重心偏向东南方向,这表明安徽省东部和南部是经济发展的高密度部位。
Compared with the population centroids , the economic centroids are located in the southeast , which indicates the east and south of Anhui province are the high-density of economic development .
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人口重心从1950~2003年由北到南移动了6.30km,反映出研究区经济发展良好的区域在南部(即汶川县)方向;
In the past 50 years , the center of papulation moved 6.30 km from north to south , indicating that the economy in the south area developed in good status .
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结果显示,甘肃省人口重心向省会兰州市迁移的趋势明显,人口重心移动轨迹呈现出一定的曲折和波动。
The results show that the trend that population gravity center move to Lanzhou & the capital of Gansu Province is obvious , and the migration orbit of population gravity center demonstrates certain fluctuation .
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第一产业重心相对人口重心偏移距离变化较为复杂,但二者仍存在较大的不均衡性;耕地面积与人口分布的不均衡性日益变大。
The first industry gravity center changes more complex than the population , and still exist a large imbalance between them . On the contrary , the imbalance of arable land area and population turn to smaller .
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美国人口增长重心渐渐移向南部和西南部,那里工会人数比其他地区要少。
U.S. population growth shifted to the South and Southwest , where union membership has been lower than elsewhere in the country .
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探索新的演化算法机制也是值得提倡的,通过模拟人口随经济重心而转移、随人口压力增加而扩散的机制,本文还提出了一种新的用于函数全局优化的搜索算法&人口迁移算法。
In this dissertation , a new search algorithm for global optimization - population migration algorithm is proposed by simulation of population migration . The algorithm mainly simulated population transition with economics and dispersion with population pressure increment .
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本文通过人口规模、集聚特征和人口重心三个方面介绍武汉市人口空间分布的概况。
This paper describes the population spatial distribution in Wuhan by analyzing three aspects including population size , agglomeration and population gravity center .
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这个趋势同人口分部也有关连。美国人口增长重心渐渐移向南部和西南部,那里工会人数比其他地区要少。
Changing demographics also played a role.U.S.population growth shifted to the South and Southwest , where union membership has been lower than elsewhere in the country .
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利用2000年人口普查信息,介绍了在人口地理信息系统中,通过三维模型显示,罗伦斯曲线,人口重心和人口潜力等方法,分析中国人口分布的特征。
Based on the population data of 2000 census , the characteristic of spatial distribution of population in China are analyzed by using the 3-D model display , Laurence curve , movement of population center of gravity in different periods and population potential .
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其次分析了广州市的人口分布状况,广州人口分布趋向规则化,均衡化,人口分布重心向东北向偏移,人口密度由单中心向多中心的趋势变化,郊区化现象比较明显等;
Secondly , the distribution of population in Guangzhou tend to be regularization , equilibrium and the density of population change into more centers .