摘要
针对DMSP/OLS夜间灯光数据模拟省级格网GDP问题,该文选取2000、2006以及2010年DMSP/OLS稳定夜间灯光数据、辐射定标夜间灯光数据和四川省第二、三产业社会经济GDP数据,运用相关性分析、对比分析以及回归分析的方法,模拟出四川省GDP空间化密度图并分析与高程之间的关系。结果表明:在省级范围内,GDP与辐射定标灯光数据的相关性明显高于与稳定灯光数据的相关性,且前者的灯光指数CNLI与GDP相关性最高;运用3年的辐射定标灯光数据模拟得到四川省GDP密度图与GDP统计数据的拟合精度均达到0.99以上;2000-2010年四川省GDP呈现由成都市向四周不断扩张的趋势并随高程变化显著,四川省GDP高值区主要集中在高程1 000m以下的成都平原及周边区域,西部高原和山地地区GDP值较低。
Aiming at the problem of the provincial GDP grid simulated by DMSP/OLS nighttime light(NTL) data,taking DMSP/OLS stable NTL data,radiation calibrated nighttime light(RCNTL)data,second industry and tertiary industry of Sichuan province in 2000,2006and 2010as examples,the GDP spatialization density map of Sichuan province was simulated and the relationship between GDP and elevation was analyzed by using the method of correlation analysis,comparative analysis and regression analysis.The results showed that the correlation between RCNTL data and GDP was higher than that of the stable NTL data and the former’s light index CNLI had the highest correlation with GDP.The GDP density map of Sichuan province was simulated by RCNTL data in 2000,2006and 2010,and the fitting precisions of GDP density map and GDP statistics were all above 0.99.The GDP of Sichuan province continuously expanded from Chengdu city to the surrounding areas from 2000to 2010.There was a close relationship between GDP and elevation.The area with high GDP in Sichuan province was mainly distributed in the eastern Chengdu plain and its surrounding areas below an elevation of 1 000m,while the western highlands and the mountain areas had a lower level of GDP.
作者
王俊华
张廷斌
易桂花
别小娟
刘栋
张甜甜
WANG Junhua;ZHANG Tingbin;YI Guihua;BIE Xiaojuan;LIU Dong;ZHANG Tiantian(College of Tourism and Urban-Rural Planning, Chengdu University of Technology,Chengdu 610059, China;College of Earth Sciences,Chengdu University of Technology,Chengdu 61005,China;The Engineering &Technical College of Chengdu University of Technology,eshan,Sichuan 614000,China;Key Laboratory of Geoscience Spatial Information Technology,Ministry of Land and Resources of the PRC,Chengdu 610059,China;College of Management Science,Chengdu University of Technology,Chengdu 610059,China)
出处
《测绘科学》
CSCD
北大核心
2019年第8期50-60,共11页
Science of Surveying and Mapping
基金
中国地质调查局项目(DD20160015-26)
国家自然科学基金项目(41801099)
