Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being

Detalhes bibliográficos
Autor(a) principal: Durham, Mikala Rae
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/159458
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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spelling Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-beingSubjective Well-beingSpatial analysisOpen-Source dataSDG 3 - Good health and well-beingDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsSubjective well-being, or how someone reports their own life satisfaction, has important applications in areas like international development, public health, behavioral economics, and politics, but large scale surveys are labor-intensive and costly, and results often underrepresent certain populations. By exploring available open-source spatial data features, we can build on the existing research to test the feasibility of predicting subjective well-being with located data that is free and crowd-sourced. Findings show that while urban green space, healthcare or social amenity density did not show significant correlations to overall subjective well-being, urban green space and amenity density were found to be significant predictors of related self-report features like environmental quality, or social activity. While external variables are difficult to properly correlate to self-reported subjective well-being, there is potential for further exploratory research on subjective well-being domains and possible spatial drivers.Naranjo-Zolotov, Mijail JuanovichAcedo Sánchez, AlbertRUNDurham, Mikala Rae2023-10-232026-10-23T00:00:00Z2023-10-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/159458TID:203377265enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:41:51Zoai:run.unl.pt:10362/159458Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:32.960778Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
title Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
spellingShingle Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
Durham, Mikala Rae
Subjective Well-being
Spatial analysis
Open-Source data
SDG 3 - Good health and well-being
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
title_full Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
title_fullStr Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
title_full_unstemmed Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
title_sort Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
author Durham, Mikala Rae
author_facet Durham, Mikala Rae
author_role author
dc.contributor.none.fl_str_mv Naranjo-Zolotov, Mijail Juanovich
Acedo Sánchez, Albert
RUN
dc.contributor.author.fl_str_mv Durham, Mikala Rae
dc.subject.por.fl_str_mv Subjective Well-being
Spatial analysis
Open-Source data
SDG 3 - Good health and well-being
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Subjective Well-being
Spatial analysis
Open-Source data
SDG 3 - Good health and well-being
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2023
dc.date.none.fl_str_mv 2023-10-23
2023-10-23T00:00:00Z
2026-10-23T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/159458
TID:203377265
url http://hdl.handle.net/10362/159458
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dc.language.iso.fl_str_mv eng
language eng
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