摘要
针对省域小尺度资源环境研究领域对空间型社会经济数据的需求,以DMSP/OLS夜间灯光数据为依据,采用GIS与SPSS相结合的方法,分析广西生产总值、第一产业、第二产业、#工业和第三产业分别与夜间灯光指数的相关性,构建广西2010年GDP统计数据的空间化模型,并制作广西1km*1km GDP密度专题图。结果表明,DMSP/OLS夜间灯光数据与省域GDP的空间分布相关性明显,相关系数为0.9755。估算得到的GDP密度能够完整地反映广西GDP宏观分布现状,可为今后经济决策和产值估算提供一定的依据。
To meet the requirement of provincial small-scale resource and environmental research which is lack of space-based socio-economic data,taking DMSP/OLS night lights of remote sensing data as basic data source,and the method of GIS combined with SPSS was applied to analyze the correlation between night lights index and socio-economic data,which included GDP,primary industry,secondary industry,# industry and tertiary industry,in Guangxi.Then,spatial model of Guangxi＇s GDP statistical data in 2010,which based on aforementioned research,was established.Finally,1 krn ＊ 1 km GDP density map of Guangxi was made.The results show that correlation between DMSP/OLS night light data and the spatial distribution of provincial GDP is extremely obvious,with high correlation coefficient of 0.9755.The estimated density can completely reflect the macro distribution of Guangxi GDP,which provides some basis for future economic decisions and value estimates.
出处
《地理与地理信息科学》
CSCD
北大核心
2014年第4期108-111,共4页
Geography and Geo-Information Science
基金
国家自然科学基金项目(40961004)
