基于人口数据网格化的福建省人口分布特征研究  

Study on Population Distribution Characteristics of Fujian Province Based on Population Data Grid

作　　者：陈文成[1] 黄耀裔[1] 康雅丽 CHEN Wencheng;HUANG Yaoyi;KANG Yali(School of Resources and Environmental Science,Quanzhou Normal University,Quanzhou 362000,China)

机构地区：[1]泉州师范学院资源与环境科学学院

出　　处：《湖北民族学院学报（自然科学版）》2019年第3期340-344,共5页Journal of Hubei Minzu University(Natural Science Edition)

基　　金：福建省自然科学基金项目(2016J01195);泉州市科技局项目(2018Z027)

摘　　要：采用DMSP/OLS夜间灯光数据结合土地利用类型数据、DEM数据等派生的多指标数据,运用多元回归模型对福建省第六次人口普查数据分别按人口密度4km2和1km2网格化,并进行县域人口密度零误差调整,利用极差、变异系数等差异化指标对福建省县域内部人口空间分布进行分析.结果显示:人口密度网格化比平均密度更能反映实际情况,从极差和变异系数来看,1km×1km比2km×2km网格大小更符合实际,说明网格尺度大小对人口密度的空间分布具有影响效应.Using the DMSP/OLS night light data,land use type data combined with DEM data,which derivate these types data into multi-indicator data,the sixth population census of Fujian Province was gridded with multiple regression model,and the population density of Fujian Province was adjusted by zero error.The spatial distribution of population in counties of Fujian Province was analyzed by using the difference indices such as range and coefficient of variation.The results show that the gridding of population density can better reflect the actual situation than the average density.From the perspective of range and variation coefficient,the gridding size of 1 km×1 km is more realistic than that of 2 km×2 km,which shows that the size of gridding has an effect on the spatial distribution of population density.

关 键 词：人口 网格化 多元回归模型 极差 变异系数 

分 类 号：P208[天文地球—地图制图学与地理信息工程] TP70[天文地球—测绘科学与技术]