Publicação
Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Naranjo-Zolotov, Mijail Juanovich | |
| dc.contributor.advisor | Acedo Sánchez, Albert | |
| dc.contributor.author | Durham, Mikala Rae | |
| dc.date.accessioned | 2023-11-02T14:00:06Z | |
| dc.date.embargo | 2026-10-23 | |
| dc.date.issued | 2023-10-23 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics | pt_PT |
| dc.description.abstract | Subjective 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. | pt_PT |
| dc.identifier.tid | 203377265 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/159458 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Subjective Well-being | pt_PT |
| dc.subject | Spatial analysis | pt_PT |
| dc.subject | Open-Source data | pt_PT |
| dc.subject | SDG 3 - Good health and well-being | pt_PT |
| dc.title | Subjective well-being viewed from above: an exploration into geospatial correlates of subjective well-being | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | embargoedAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Métodos Analíticos para a Gestão | pt_PT |