基于镇域尺度的江苏省人口分布空间格局演变
Spatio-temporal Changes of Population Distribution at Sub-district Level in Jiangsu Province
查看参考文献38篇
|
文摘
|
基于2000年、2010年人口普查乡镇（街道）数据，运用探索性空间数据分析、半变异函数等方法，分析江苏省人口分布的时空分异特征，并揭示其空间演化机理。结果表明：①江苏省人口分布呈现较大的空间差异，全省层面上呈现南北人口密度高于中部的“凹”字型结构，城乡层面上呈现街道人口密度高于乡镇的“城乡二元”结构，以及沿江地区明显的“核心边缘”结构；②研究期内江苏省人口分布的空间不均衡性和集聚性呈增强之势，长江以北镇域的人口密度大多降低而以南普遍增加，苏锡常、南京、徐州三大都市圈的人口集聚能力进一步提升，沿江地区成为全省规模最大的高密度人口连绵区；③空间关联作用是引起江苏省人口分布格局变化的空间机理，而政策、区位、经济与自然环境等因素是造成江苏人口格局变化的主要动力。 |
|
其他语种文摘
|
Since the reform and opening up, the large-scale migration in China has caused dramatic changes in population distribution, which has become a hot research field of human geography. Spatial pattern of population distribution has a typical character of scale dependency. Fine-scale estimation of the population distribution has been a huge challenge in the field of population geography. In China, sub-district is the finest administrative unit in official population census data. Thus, population density data at township level can be used to describe and characterize the population spatial pattern and changes elaborately, and support the optimized layout plan of Chinese population and government policy decision making. Sub-district boundaries across 13 cities in Jiangsu Province had been collected in this study. The national population census data were spatially joined to the boundary layer for population density calculation. Based on the fifth and sixth population censuses, using exploratory spatial data analysis, interpolation methods and semivariogram, the space differentiation and temporal variation of population density of all sub-districts in Jiangsu Province in 2000-2010 are explored, and further, the evolutionary mechanism of it is discussed. The results are reported as follows. In spatial distribution, the population density of Jiangsu Province was characterized by concave shaped structure, urban-rural dual structure, and core-periphery structure. Suzhou-Wuxi-Changzhou metropolitan area had the most widely dense population, and Nanjing City circle had the highest population density. In the evolution, the space differentiation of population density was becoming ever more obvious. Population density in the south of Jiangsu was generally increasing, but most towns'population density was declining in the northern area. The variation of population density was presented spatial inequality. In evolutionary mechanism, spatial continuity and self-organization of population density have been intensified, and the spatial form of population density changed from decentralization in the initial stage to centralization. Additionally, the structural difference resulted from spatial association has become more and more obvious. The changes of population distribution were influenced mainly by policy and economic factors. First, regional strategies played a guiding role in the population distribution changes. Secondly, economic development reshaped the population distribution, and the population density had a significant positive correlation with economic density. Thirdly, location difference was the determinant. At last but not the least, physical geography difference had also affected the layout in a certain extent. This study expanded the research scale and dimension of the research in population geography research in China. The resulted population density dataset in 2000 and 2010 is expected to enrich the baseline data resources for population geography development in China. |
|
来源
|
地理科学
,2015,35(11):1381-1387 【核心库】
|
|
关键词
|
人口分布
;
镇域尺度
;
江苏省
|
|
地址
|
江苏师范大学区域与城市研究中心, 江苏, 徐州, 220009
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1000-0690 |
|
学科
|
自然地理学 |
|
基金
|
国家自然科学基金项目
|
|
文献收藏号
|
CSCD:5576666
|
参考文献 共
38
共2页
|
|
1.
牛叔文. 基于村落尺度的丘陵山区人口分布特征与规律——以甘肃天水为例.
山地学报,2006,24(6):684-691
|
CSCD被引
9
次
|
|
|
|
|
2.
王法辉. 区域人口密度函数与增长模式:兼论城市吸引范围划分的GIS方法.
地理研究,2004,23(1):97-103
|
CSCD被引
21
次
|
|
|
|
|
3.
王法辉.
基于GIS的数量方法与应用,2009
|
CSCD被引
41
次
|
|
|
|
|
4.
杨云彦.
人口、资源与环境经济学,1999
|
CSCD被引
10
次
|
|
|
|
|
5.
苏飞. 辽中南城市群人口分布的时空演变特征.
地理科学进展,2010,29(1):96-102
|
CSCD被引
10
次
|
|
|
|
|
6.
Hunter L M. Population and land use change in the California Mojave: Natural habitat implications of alternative futures.
Population Research and Policy Review,2003,22(4):373-397
|
CSCD被引
6
次
|
|
|
|
|
7.
龚胜生. 1982~2010年湖北省人口分布格局变迁及其影响因素.
长江流域资源与环境,2015,24(5):728-734
|
CSCD被引
13
次
|
|
|
|
|
8.
封志明. 中国地形起伏度及其与人口分布的相关性.
地理学报,2007,62(10):1073-1082
|
CSCD被引
192
次
|
|
|
|
|
9.
刘纪远. 中国人口密度数模拟.
地理学报,2003,58(1):17-24
|
CSCD被引
66
次
|
|
|
|
|
10.
田永中. 基于土地利用的中国人口密度模拟.
地理学报,2004,59(2):283-292
|
CSCD被引
102
次
|
|
|
|
|
11.
Dorn H F. Pitfalls in population forecasts and projections.
Journal of the American Statistical Association,1950,45(251):311-334
|
CSCD被引
3
次
|
|
|
|
|
12.
Leach D. Re-evaluation of the logistic curve for human populations.
Journal of the Royal Statistical Society,Series A(General),1981,144(1):94-103
|
CSCD被引
3
次
|
|
|
|
|
13.
Lee R D. Demographic forecasting and the Easterlin hypothesis.
Population and Development Review,1976(2):459-468
|
CSCD被引
1
次
|
|
|
|
|
14.
王露. 基于分县尺度的2020-2030年中国未来人口分布.
地理研究,2014,33(2):310-322
|
CSCD被引
16
次
|
|
|
|
|
15.
杨丽霞. 数学模型在人口预测中的应用——以江苏省为例.
长江流域资源与环境,2006,15(3):287-291
|
CSCD被引
15
次
|
|
|
|
|
16.
朱兴造. 自回归及logistic离散模型在中国人口预测中的应用.
统计与决策,2009,13(13):157-159
|
CSCD被引
3
次
|
|
|
|
|
17.
中国科学院可持续发展研究组.
中国可持续发展战略报告,2000
|
CSCD被引
12
次
|
|
|
|
|
18.
Moran P A P. The interpretation of statistical maps.
Journal of the Royal Statistical Society B,1948(37):243-251
|
CSCD被引
122
次
|
|
|
|
|
19.
Getis A. The analysis of spatial association by use of distance statistics.
GeographicalAnalysis,1992,24(3):189-206
|
CSCD被引
509
次
|
|
|
|
|
20.
Anselin L. Spatial statistical analysis and geographic information system.
Annals of Regional Science,1992,26(1):19-33
|
CSCD被引
50
次
|
|
|
|
|
了解气象卫星更多信息，请访问