基于多源空间数据的山区人口分布模拟  

Simulation of Mountain Population Distribution Based on Multi-source Spatial Data

作　　者：曹伟超[1] 陶和平[2] 谭理[1] 张云[1] 董学智[1] 

机构地区：[1]四川省第三测绘工程院,成都610500 [2]中国科学院水利部成都山地灾害与环境研究所,成都610041

出　　处：《国土资源遥感》2012年第2期61-67,共7页Remote Sensing for Land & Resources

基　　金：中国科学院知识创新工程重要方向项目(编号:KZX2-YW-333);四川省科技支撑计划项目(项目编号为:2012SZ0091)共同资助

摘　　要：人口资源是制约山区发展的关键因素,其分布状况在一定程度上反映和决定了山区的资源环境安全状况和社会经济发展水平。在分析川滇黔接壤地区山区人口分布影响因素的基础上,结合已有方法,构建了适合山区人口数据空间化的模型。以2007年人口统计数据为基础,以居民点作为人口分布指示因子,利用GIS软件工具,分析了居民点分布与地貌形态、土地利用、道路以及水系间的关系。基于多源空间数据融合的思想,引进了居民点缓冲区的概念,以较客观的赋权方式确定影响因子权重,实现山区人口统计数据的空间化。结果表明,通过融合产生的人口密度与乡镇级人口密度的相关性均在0.80以上,结果可靠,为进一步分析山区人口分布格局提供了重要的基础数据。Population resources are key factors for the development of mountain areas.The distribution conditions of population resources reflect and determine to some extent socio-economic development and sustainable development of mountainous areas.In this paper,a newer population data spatialized model for mountain areas is developed based on existing methods and factors influencing population distribution of mountain areas.Based on population census data in 2007,this paper analyzed the relationships between the distribution of residential areas and terrain,land use,roads,and rivers by using the GIS software and taking the residential area as an important indicator to population distribution.Based on multiple spatial sources data fusion technology,the authors dealt with the concept of settlements buffer,assigned the weight values of affecting factors objectively,and realized the spatialization of population census data for mountain areas completely.The result shows that there are correlations of ratio（0.80） between the population density generated by data fusion and the actual population census data at the township level,and the result is reliable.The finally generated grid population density lays an important basic data foundation for the further analysis of the pattern of population distribution in mountain areas.

关 键 词：人口分布 统计数据 空间化 地理信息系统 山区 

分 类 号：X24[环境科学与工程—环境科学] P208[天文地球—地图制图学与地理信息工程]