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dc.creatorSepúlveda Murillo F.H.
dc.creatorChica Olmo J.
dc.creatorSoto Builes N.M.
dc.date2019
dc.date.accessioned2020-04-29T14:53:41Z
dc.date.available2020-04-29T14:53:41Z
dc.identifier.issn3038300
dc.identifier.urihttp://hdl.handle.net/11407/5691
dc.descriptionAccording to the Gini indicator, Medellín the capital of the Department of Antioquia, Colombia has been considered the most unequal city in Colombia for several consecutive years with regard to inequity in its residents quality of life (QoL) level. Therefore, this research mainly aimed to explore the spatial variations in the QoL of households and the determinants that explain it, using some geographically weighted techniques. This analysis becomes substantial when it is intended to contribute to government policies and programs that seek the well-being of individuals. For this purpose, an indicator that integrated both objective and subjective variables to measure the QoL of households in Medellín was constructed. The local and global spatial autocorrelation indexes were used to visualize and analyze the geographic structure of the quality of life indicator. The global or conventional principal components analysis and the geographically weighted principal components analysis were used to identify spatial trends and explore the spatial variations of the determinants that explain the QoL, respectively. The results confirm that the QoL and the factors explaining it are highly spatially heterogeneous in Medellín, being extremely supportive of appropriate authorities for spatial planning and developing strategies that help to improve the living conditions of homes in the city. © 2019, Springer Nature B.V.
dc.language.isoeng
dc.publisherSpringer Netherlands
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068740468&doi=10.1007%2fs11205-019-02088-x&partnerID=40&md5=2ed5e3c6a3e02bfbd8d861bd8659c182
dc.sourceSocial Indicators Research
dc.subjectGeographically weighted principal components analysis
dc.subjectPrincipal components analysis
dc.subjectQuality of life
dc.subjectSpatial autocorrelation
dc.subjectSpatial non-stationarity
dc.titleSpatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia
dc.typeArticle
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programFacultad de Ciencias Básicas
dc.identifier.doi10.1007/s11205-019-02088-x
dc.citation.volume144
dc.citation.issue3
dc.citation.spage1233
dc.citation.epage1256
dc.publisher.facultyFacultad de Ciencias Básicas;Facultad de Ciencias Sociales y Humanas
dc.affiliationSepúlveda Murillo, F.H., Faculty of Basic Sciences, University of Medellin, Medellín, 050026, Colombia; Chica Olmo, J., Department of Quantitative Methods for Economics and Business, Faculty of Economics and Business Administration, University of Granada, Spain, Campus de Cartuja s/n, Granada, 18071, Spain; Soto Builes, N.M., Faculty of Social and Human Sciences, University of Medellin, Medellín, 050026, Colombia
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