基于GIS的小流域人口数据空间化研究——以梅江流域为例  

A Study on Population Data Spatialization of Small River Basin Based on GIS:Take Meijiang River Basin as the Example

作　　者：曾祥贵[1] 赖格英[1,2] 易发钊[1] 张玲玲[1] 

机构地区：[1]江西师范大学地理与环境学院,江西南昌330022 [2]鄱阳湖湿地与流域研究教育部重点实验室,江西南昌330022

出　　处：《地理与地理信息科学》2013年第6期40-44,F0003,共6页Geography and Geo-Information Science

基　　金：国家自然科学基金项目(40971266;41171393)

摘　　要：以江西省梅江流域为例,基于GIS空间分析技术和多源数据融合技术对小流域的人口数据空间化方法进行了探究。为使结果更精确,根据小流域的特征选取地形、道路、河流作为主影响因子,并将主因子分成若干类子因子。选取居民点为影响人口分布的指引性因子,以体现人口的空间分布状况;选取土地利用中居民地面积作为居民点的指数,以体现居民点的人口数量。引入居民地指数密度变量作为各因子影响居民点分布的定量指标。在模拟过程中:首先,计算出子因子的居民地指数密度,将其作为子因子对居民点分布的影响权值(子因子居民点权值),再融合得出主因子对居民点分布的影响权值(主因子居民点权值);其次,将整个研究区分为城镇居民点、农村居民点与远离居民点3个区域,以其人口密度为各居民点类型对人口分布的影响权值(居民点人口权值);再次,融合各主因子居民点权值和居民点人口权值得到单因子人口权值,再融合单因子人口权值得到多因子人口权值,即人口密度系数;最后,将各乡镇人口根据人口密度系数生成100m×100m分辨率的人口密度图。Taking the Meijiang River Basin of Jiangxi Province as the example, this paper explored the population data spatializa- tion method of the small river basin which is based on the spatial analysis technique of GIS and multi-source data fusion tech nique. In order to make the result more accurate and according to the characteristics of small basin, terrain, roads and rivers were chosen as the main influencing factors and further these factors were classified into several sub factors. Residential point was se lected as the indicative factor to reflect the population spatial distribution. Residential area of land use was taken as the index of residential point to reflect the population size of local residential point. The ＂Resident Area Index Density＂ was introduced as the quantitative index which affects the residential point distribution by each factor. During the simulation, firstly, the residential area index densities of sub-factors were calculated and they were taken as the influencing weights of sub-factors to residential point distribution. Secondly, the whole study area was divided into urban population region, rural population region and rest re- gion, and the population density was taken as the influencing weight of each kind of residential point to population distribution. Finally, the influencing weights caused by the main factors to the residential distribution and the influencing weights caused by residential point to population distribution were fused to get the population distribution coefficient of the whole study region, af- ter these,a population density map in 100 m× 100 m resolution was generated according to the population distribution coeffi cient.

关 键 词：梅江流域 人口 空间化 GIS 

分 类 号：K901.3[历史地理—人文地理学] P208[天文地球—地图制图学与地理信息工程]