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《Journal of Hubei University for Nationalities(Natural Science Edition)》 2018-01
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GDP Spatial Gridding Expression of Fujian Province Based on Multi-source Data

HUANG Yaoyi;CHEN Wencheng;ZHANG Zhengrui;School of Resources and Environmental Science,Quanzhou Normal University;  
GDP data spatial gridding is the premise of creating space type social economy,how to scientific and accurate spatial gridding GDP is important way,in view of the urban and rural residence in light data and DEM data influence the differences of natural conditions,using the DMSP/OLS night light data combining with land use types of data,DEM data and other multiple index data of GDP data spatial gridding in fujian province 2008 years.The results show that using the DMSP/OLS data,land using data,DEM data of multi-source data of multivariate stepwise regression more than a single DMSP/OLS regression increase with GDP,forestry and animal husbandry's contribution to GDP,experimental results improves the prediction precision of GDP,but from the residuals display in the prediction of regional economy with high intensity lower than the economic strength of regional prediction accuracy is low,so according to the relative error of the multiple regression(δ=0.5) to limit the multi-source data indicators to do multiple stepwise regression,improve the accuracy of the GDP spatial gridding,and finally do adjustment with the aid of statistical data,the GDP of county scale zero error for spatial gridding map.
【Fund】: 福建省自然科学基金项目(2016J01195);; 福建省中青年教师教育科研项目(JAT170479 JA15400)
【CateGory Index】: F127
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