基于多源数据的多元综合法实现泉州市人口网格化  

The Realization of Population Gridding in Quanzhou City Based on multi-source Data

作　　者：黄耀裔[1] 陈文成[1] HUANG Yao-yi;CHEN Wen-cheng(School of Resources and Environmental Science,Quanzhou Normal University,Quanzhou Fujian 362000,China)

机构地区：[1]泉州师范学院资源与环境科学学院,福建泉州362000

出　　处：《科技和产业》2020年第8期135-139,共5页Science Technology and Industry

基　　金：福建省自然科学基金项目(2016J01195);泉州市科技项目(2018Z024;2018Z027)。

摘　　要：以泉州市(不包括金门县)为例,应用人口关联因素相关分析探索泉州市的植被指数EVI、夜间灯光(NPP-VIIRS、LJ1-01)、土地利用数据、DEM数据、交通与水系矢量数据等多源异构数据的关联性,筛选关联因子后再利用地理探测器的“分异及因子探测”法进行指标赋权,实现基于多元综合法的泉州市人口网格化。实验结果显示:利用LJ1-01夜间灯光的人口网格化结果优于NPP-VIIRS,说明多源数据的精度越高,效果越好。人口网格化结果可为其他数据模型的集成研究提供数据来源。This paper taking Quanzhou City(excluding Jinmen county)as an example,the correlation analysis of population correlation factors was used to explore the correlation of EVI vegetation index,NPP-VIIRS and LJ1-01night lighting data,land use data,DEM data,traffic and water vector data and so on other multi-source heterogeneous data.After selecting the correlation factors,the"differentiation and factor detection"method of geographical detector was used to carry out index empowerment to realize the population grid of Quanzhou City based on the multiple comprehensive method.The experimental results show that LJ 1-01 night lighting is better than NPP-VIIRS,which indicates that the higher the accuracy of multi-source data.The results of population gridding can provide data sources for the integration of other data models.

关 键 词：NPP-VIIRS LJ1-01 多元综合法 人口网格化 泉州市 

分 类 号：P315[天文地球—地震学]