摘要
针对传统人口数据表达方法在表达人口空间分布上的不足,设计了人口数据离散化模型,通过分析人口数据与土地覆被信息之间的关系,将分县统计的人口数据分配到空间1 km×1 km栅格单元上。在江苏省的研究表明,利用该方法能获得比较高的精度。基于离散化后的人口数据,发现江苏省人口空间分布有两大特点:(1)人口分布自城市中心向城市外围由密集渐变为分散;(2)苏南的城市人口规模显著大于苏中和苏北,苏南、苏中、苏北三大区域的人口城镇化水平呈现由高到低排列。江苏省人口空间分布的上述特点与江苏省三大区域的经济发展状况及各个区域的城镇化水平相一致。离散化后生成的1 km×1 km栅格人口数据,能够精确表达人口分布的区域差异,可以作为制订资源开发、环境规划、区域发展战略等重要参考依据。
Given the limitation of traditional method to express the distribution of population, we put forward a new interpolation method to identify the spatial variability of population in certain counties. We used this method to spatially interpolate the population census data at county level based on assumption as well as the regression analysis between population and the land cover information. A case study in Jiangsu Province shows that we can get the spatially interpolated population density with 1 by 1 square kilometers with high accuracy,with the largest overall accuracy being as low as 8.74%. The distribution of the population in Jiangsu Province has two characteristics：first,the population is dense in cities and sparse in rural area;second,the level of population urbanization of South J iangsu is higher than Central and North J iangsu. The two characteristics are consistent with the status of the development of economy and the urbanization of the three regions. By using this interp density to accurately and spatially express important protection to provide and consti olation method,we can generate the surface data of population the regional difference of population distribution. It can be decision-supporting information in the planning of resource exploitation, environment tute sustainable development strategy.
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2008年第4期506-510,共5页
Resources and Environment in the Yangtze Basin
基金
国家自然科学基金项目(70503025)
中国科学院知识创新工程重要方向项目(kzcx2-yw-305-2)
关键词
人口数据
空间离散化
精度分析
江苏省
人口城镇化
population data
spatial interpolation
accuracy validation
Jiangsu Province
population urbanization
