Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data  

作　　者：Natalya A.Rybnikova Boris A.Portnov 

机构地区：[1]Department of Natural Resources and Environmental Management,University of Haifa,Haifa,Israel

出　　处：《International Journal of Digital Earth》2017年第9期861-870,871-878,共18页国际数字地球学报（英文）

基　　金：This work was supported by the Ilan Ramon Scholarship,provided by the Israel Ministry of Science,Technology and Space.

摘　　要：Mapping geographic concentrations of quaternary industries(QIs)may help to assess regional performance and formulate informed development policies.However,fine resolution data on QIs concentrations are sparsely reported.Thus,for the year 2010,only 45%of all NUTS3 regions(i.e.regions of the third and most detailed level of the Nomenclature of Units for Territorial Statistics of the EU)provide relevant information.In this study,we investigate a possibility that artificial light-at-night(ALAN),captured by satellite sensors,can help to identify geographic concentrations of QIs.In this study,we use year-2010 NUTS3 Eurostat data,and combine them with data on ALAN intensities,obtained from the U.S.Defense Meteorological Satellite Program(US-DMSP)for the years 2000 and 2010.In both ordinary least squares(OLS)and spatial dependency(SD)models,ALAN emerged as a statistically significant predictor(t=8.392–14.608;P<.01),helping to explain,along with other predictors,up to 75%of QIs regional variation.The obtained models and regional data presently available enabled estimates of QIs concentrations for European NUTS3 regions with missing data.

关 键 词：Quaternary industries(QIs) artificial light-at-night(ALAN) NUTS3 regions EUROPE 

分 类 号：G63[文化科学—教育学]