北京师范大学学报（自然科学版）2018，Vol.54Issue(2)：232-238,7.DOI:10.16360/j.cnki.jbnuns.2018.02.014
基于多源数据的河南省GDP空间化
GDP spatialization in Henan Province based on multi-source data
摘要
Abstract
With rapid development of social economy,provincial counties as units of GDP data cannot reflect economic differences in different regions of the same county. Therefore, spatializations have become an important issue in GDP research. In the present work we have studied GDP spatialization in Henan Province from land use,population, DMSP/OLS and GDP statistics. It was found that primary industry GDP (GDPi) had good linear correlation with land use types. Secondary and tertiary industry GDP (GDP2,3) had good correlation with population data and DMSP/OLS data. A composite index (combination of population data and DMSP/OLS data) was found to have significant correlation with GDP2,3 (R = 0.949,R2 =0.901). Regression model using composite index as dependent variable and GDP2,3 as independent variables were found to improve accuracy of GDP2,3 spatialization. Accuracy verification found that average relative error between simulated value and statistical value was 10.34％. GDP density map could reflect local economy in Henan Province,and this will likely contribute to the study of economic development in the area.关键词
GDP空间化/DMSP/OLS数据/土地利用数据/人口数据Key words
GDP spatialization/DMSP/OLS data/land use data/population data分类
天文与地球科学引用本文复制引用
肖国峰,朱秀芳,蔡毅,孙章丽..基于多源数据的河南省GDP空间化[J].北京师范大学学报（自然科学版）,2018,54(2):232-238,7.基金项目
青年自然科学基金资助项目(41401479) （41401479）
国家"高分辨率对地观测系统"重大专项资助项目 （）
