首页|期刊导航|社会系统计算科学（英文）|Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
社会系统计算科学（英文）2024，Vol.5Issue(4)：329-343,15.DOI:10.23919/JSC.2024.0026
Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
摘要
关键词
disadvantaged communities/Justice40/principal component generalized linear model/socio-economic challenges/spatial downscaling/temporal trendKey words
disadvantaged communities/Justice40/principal component generalized linear model/socio-economic challenges/spatial downscaling/temporal trend引用本文复制引用
Narmadha M.Mohankumar,Milan Jain,Heng Wan,Sumitrra Ganguli,Kyle D.Wilson,David M.Anderson..Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities[J].社会系统计算科学（英文）,2024,5(4):329-343,15.基金项目
This research was supported by the Agile Initiative,a multi-disciplinary Pacific Northwest National Laboratory(PNNL)initiative.PNNL is operated by Battelle Memorial Institute under Contract DE-AC06-76RL01830. （PNNL）
