Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors

Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors

This paper examines the dependence of the emission of greenhouse gases including CO2, N2O and CH4 on social, economic and demographic factors. Feature selection is used to identify the most influential parameters, and emissions are modeled using three regression techniques, including linear regressi...

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Bibliographic Details
Main Authors: Weiheng Fu, Weirong Han, Tianze Xu, Yerin Kim, Chengda Lyu, Anqi Zheng
Format: Article
Language:English
Published: UIKTEN 2019-09-01
Series:SAR Journal
Subjects:
greenhouse gas
socio-economic factors
feature selection
principal component
regression
Online Access:http://www.sarjournal.com/content/23/SARJournalSeptember2019_115_120.pdf
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spelling doaj-819647fd37a54df9b5c37ba8f9a42f2d2020-11-24T20:42:53ZengUIKTENSAR Journal2619-99632619-99632019-09-012311512010.18421/SAR23-05Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic FactorsWeiheng FuWeirong HanTianze XuYerin KimChengda LyuAnqi ZhengThis paper examines the dependence of the emission of greenhouse gases including CO2, N2O and CH4 on social, economic and demographic factors. Feature selection is used to identify the most influential parameters, and emissions are modeled using three regression techniques, including linear regression, principal component regression and partial least square regression. The models are evaluated for key implications.http://www.sarjournal.com/content/23/SARJournalSeptember2019_115_120.pdfgreenhouse gassocio-economic factorsfeature selectionprincipal componentregression
collection DOAJ
language English
format Article
sources DOAJ
author Weiheng Fu
Weirong Han
Tianze Xu
Yerin Kim
Chengda Lyu
Anqi Zheng
spellingShingle Weiheng Fu
Weirong Han
Tianze Xu
Yerin Kim
Chengda Lyu
Anqi Zheng
Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
SAR Journal
greenhouse gas
socio-economic factors
feature selection
principal component
regression
author_facet Weiheng Fu
Weirong Han
Tianze Xu
Yerin Kim
Chengda Lyu
Anqi Zheng
author_sort Weiheng Fu
title Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
title_short Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
title_full Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
title_fullStr Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
title_full_unstemmed Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors
title_sort exploring the interconnection of greenhouse gas emission and socio-economic factors
publisher UIKTEN
series SAR Journal
issn 2619-9963
2619-9963
publishDate 2019-09-01
description This paper examines the dependence of the emission of greenhouse gases including CO2, N2O and CH4 on social, economic and demographic factors. Feature selection is used to identify the most influential parameters, and emissions are modeled using three regression techniques, including linear regression, principal component regression and partial least square regression. The models are evaluated for key implications.
topic greenhouse gas
socio-economic factors
feature selection
principal component
regression
url http://www.sarjournal.com/content/23/SARJournalSeptember2019_115_120.pdf
work_keys_str_mv AT weihengfu exploringtheinterconnectionofgreenhousegasemissionandsocioeconomicfactors
AT weironghan exploringtheinterconnectionofgreenhousegasemissionandsocioeconomicfactors
AT tianzexu exploringtheinterconnectionofgreenhousegasemissionandsocioeconomicfactors
AT yerinkim exploringtheinterconnectionofgreenhousegasemissionandsocioeconomicfactors
AT chengdalyu exploringtheinterconnectionofgreenhousegasemissionandsocioeconomicfactors
AT anqizheng exploringtheinterconnectionofgreenhousegasemissionandsocioeconomicfactors
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