Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia
According 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 th...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/5691
- Acceso en línea:
- http://hdl.handle.net/11407/5691
- Palabra clave:
- Geographically weighted principal components analysis
Principal components analysis
Quality of life
Spatial autocorrelation
Spatial non-stationarity
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- License
- http://purl.org/coar/access_right/c_16ec
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Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| title |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| spellingShingle |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia Geographically weighted principal components analysis Principal components analysis Quality of life Spatial autocorrelation Spatial non-stationarity |
| title_short |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| title_full |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| title_fullStr |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| title_full_unstemmed |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| title_sort |
Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia |
| dc.subject.none.fl_str_mv |
Geographically weighted principal components analysis Principal components analysis Quality of life Spatial autocorrelation Spatial non-stationarity |
| topic |
Geographically weighted principal components analysis Principal components analysis Quality of life Spatial autocorrelation Spatial non-stationarity |
| description |
According 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. |
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2019 |
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2020-04-29T14:53:41Z |
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2020-04-29T14:53:41Z |
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2019 |
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Article |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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3038300 |
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http://hdl.handle.net/11407/5691 |
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10.1007/s11205-019-02088-x |
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3038300 10.1007/s11205-019-02088-x |
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http://hdl.handle.net/11407/5691 |
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eng |
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eng |
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144 |
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(2011) Indicador de Calidad de Vida. Medellín 2004 2010, , Departamento Administrativo de Planeacióla Alcaldía de Medellín, Medellín (2012) Informe De Calidad De Vida De Medellín: Medellín Como Vamos, , http://redcomovamos.org/wp-content/uploads/2014/03/Informe-de-Calidad-de-Vida-de-Medell%C3%ADn-2012.pdf, Septiembre 2017. Recuperado de (2013) Informe De Calidad De Vida De Medellín: Medellín Como Vamos, , http://redcomovamos.org/wp-content/uploads/2014/06/Informe-de-Calidad-de-Vida-de-Medell%C3%ADn-2013.pdf, Septiembre 2017. Recuperado de (2013) Encuesta De percepción Ciudadana De Medellín, , http://www.medellincomovamos.org/informe-de-resultados-de-la-encuesta-de-percepcion-ciudadana-2013, Septiembre 2017. Recuperado de Ali, K., Partridge, M.D., Olfert, M.R., Can geographically weighted regressions improve regional analysis and policy making? (2007) International Regional Science Review, 30 (3), pp. 300-329 Amara, M., Ayadi, M., The local geographies of welfare in Tunisia: Does neighbourhood matter? (2013) International Journal of Social Welfare, 22 (1), pp. 90-103 Anselin, L., The Moran Scatterplot as an ESDA tool to assess local instability in spatial association (1993) Paper Presented at the GISDATA Specialist Meeting on GIS and Spatial Analysis, , Amsterdam, The Netherlands, December 1 5 (West Virginia University, Regional Research Institute, Research Paper 9330) Anselin, L., Local indicators of spatial association LISA (1995) Geographical analysis, 27 (2), pp. 93-115 Aslam, A., Corrado, L., The geography of well-being (2012) Journal of Economic Geography, 12 (3), pp. 627-649 Aznar, A., Mur, J., Trívez, F., (1996) Métodos econométricos En El análisis Regional, pp. 237-264. , Actas de la XXII Reunión de Estudios Regionales, de la Asociación Española de Ciencia Regional. Pamplona/Iruña, de noviembre de 20 22, 1996 Benson, T., Chamberlin, J., Rhinehart, I., An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi (2005) Food Policy, 30 (5), pp. 532-550 Campanera, J., Higgins, P., The quality of life in English local authority areas (2011) Local Government Studies, 37 (2), pp. 145-169 Carrasco, A., Martínez, L., Moreno, A., Revisión crítica de la medición del bienestar desde una perspectiva interdisciplinar: hacia una propuesta de indicadores subjetivos y espaciales (2013) Prisma Social, 11, pp. 91-122 Charlton, M., Brunsdon, C., Demsar, U., Harris, P., Fotheringham, S., Principal components analysis: From global to local (2010) 13Th AGILE International Conference on Geographic Information Science, , Guimaraes, Portugal Chatfield, C., Collins, A.J., (1980) Introduction to multivariate analysis, , Chapman and Hall, London (2013) Encuesta Nacional De Calidad De Vida, , https://formularios.dane.gov.co/Anda_4_1/index.php/catalog/213/export, Septiembre 2017. Recuperado de Diener, E., Suh, E., Measuring quality of life: Economic, social, and subjective indicators (1997) Social Indicators Research, 40 (1), pp. 189-216 Echeverri, A., Orsini, F.M., Informalidad y urbanismo social en Medellín (2011) Sostenible?, 12, pp. 11-24 Echeverri Restrepo, D., Pareja López, A., Meneses Ramírez, E.A., (2016) Toxicidad in Vitro Del Material Particulado (MP) Del área Urbana De Medellín (2011) Territorial Agenda of the European Union 2020. Towards an Inclusive, Smart and Sustainable Europe of Diverse Regions, , Publications Office of the European Union, Luxembourg (2013) Quality of life in cities, , Publications Office of the European Union, Luxembourg Fernández, L.C.M., Mínguez, A.M., de la Torre, I.M., La calidad de vida en el territorio local: propuesta metodológica y práctica de campo (2016) Revista Prisma Social, 17, pp. 319-342 Fotheringham, A.S., Brunsdon, C., Charlton, M., (2002) Geographically weighted regression: the analysis of spatially varying relationships, , Wiley, Hoboken, NJ Fukuyama, F., Colby, S., Half a Miracle: Medellín s rebirth is nothing short of astonishing. But have the drug lords really been vanquished? (2011) Foreign Policy, 186 (6), pp. 1-17 Gifi, A., (1990) Nonlinear multivariate analysis, , Wiley, Chichester Gollini, I., Lu, B., Charlton, M., Brunsdon, C., Harris, P., GWmodel: An R package for exploring spatial heterogeneity using geographically weighted models (2015) Journal of Statistical Software, 63 (17), pp. 1-50 Gómez Mendoza, J., Fernández Muñoz, S., Mata Olmo, R., El paisaje, calidad de vida y territorio (2001) Análisis Local, 37, pp. 27-40 González, E., Cárcaba, A., Ventura, J., The importance of the geographic level of analysis in the assessment of the quality of life: The case of Spain (2011) Social Indicators Research, 102 (2), pp. 209-228 Goodchild, M.F., Geographic information science: The grand challenges (2008) The handbook of geographic information science, pp. 596-608. , Wilson J, Fotheringham A, (eds), Blackwell, Malden, MA Goodchild, M.F., Janelle, D.G., Toward critical spatial thinking in the social sciences and humanities (2010) GeoJournal, 75 (1), pp. 3-13 Harris, P., Brunsdon, C., Exploring spatial variation and spatial relationships in a freshwater acidification critical load data set for Great Britain using geographically weighted summary statistics (2010) Computers & Geosciences, 36 (1), pp. 54-70 Harris, P., Brunsdon, C., Charlton, M., Geographically weighted principal components analysis (2011) International Journal of Geographical Information Science, 25 (10), pp. 1717-1736 Harris, P., Clarke, A., Juggins, S., Brunsdon, C., Charlton, M., Enhancements to a geographically weighted principal component analysis in the context of an application to an environmental data set (2015) Geographical Analysis, 47 (2), pp. 146-172 Henninger, N., (1998) Mapping and geographic analysis of human welfare and poverty: Review and assessment, , World Resources Institute, Washington, DC Hillier, A., Why social work needs mapping (2007) Journal of Social Work Education, 43 (2), pp. 205-222 Hotelling, H., Analysis of a complex of statistical variables into principal components (1933) Journal of Educational Psychology, 24 (6), pp. 417-441 Hotelling, H., Analysis of a complex of statistical variables into principal components (1933) Journal of Educational Psychology, 24 (7), pp. 498-520 Jaimes, E., Orellana, R., Reiban, M., González, J.C., Analysis of the life quality in the déleg canton, Province of Cañar-Ecuador (2016) Revista Venezolana de Gerencia, 21 (75), pp. 460-488 Johnson, R.A., Wichern, D.W., (2014) Applied multivariate statistical analysis, 4. , Prentice-Hall, Upper Saddle River, NJ Kumar, S., Lal, R., Lloyd, C.D., Assessing spatial variability in soil characteristics with geographically weighted principal components analysis (2012) Computational Geosciences, 16 (3), pp. 827-835 Lloyd, C.D., Analysing population characteristics using geographically weighted principal components analysis: A case study of Northern Ireland in 2001 (2010) Computers, Environment and Urban Systems, 34 (5), pp. 389-399 Lu, B., Harris, P., Charlton, M., Brunsdon, C., The GWmodel R package: Further topics for exploring spatial heterogeneity using geographically weighted models (2014) Geo-Spatial Information Science, 17 (2), pp. 85-101 Lucero, P., Mikkelsen, C., Sabuda, F., Ares, S., Aveni, S.M., Ondartz, A.E., Calidad de vida y espacio: una mirada geográfica desde el territorio local (2007) Hologramática, 7 (4), pp. 99-125 Matthews, S.A., The salience of neighbourhoods: Lessons from early sociology? (2008) American Journal of Preventive Medicine, 34 (3), pp. 257-259 Mendieta, E., Medellín and Bogotá: The global cities of the other globalization (2011) City, 15 (2), pp. 167-180 Mennis, J., The Cartographic (2006) Journal, 43 (2), pp. 171-179 Mohan, J., Twigg, L., Sense of place, quality of life and local socioeconomic context: Evidence from the survey of English housing, 2002/03 (2007) Urban studies, 44 (10), pp. 2029-2045 Moran, P.A., The interpretation of statistical maps (1948) Journal of the Royal Statistical Society: Series B (Methodological), 10 (2), pp. 243-251 Moreno Mínguez, A., (2013) Family well-being. European Perspectives, , (ed), Springer, Amsterdam Moreno, R., Vayá, E., Técnicas econométricas para el tratamiento de datos espaciales: La econometría espacial (2000) Edicions Universitat De Barcelona, coleccióUB, 44. , Manuals Nussbaum, M., (2000) Women and human development: The capabilities approach, , Cambridge University Press, New York Nussbaum, M., (2004) Hiding from humanity, , Princeton University Press, Princeton Nussbaum, M., (2006) Frontiers of justice, , Belknap Press, Cambridge Nussbaum, M., (2012) Crear capacidades: propuesta para el desarrollo humano, , Barcelona Paidós, Barcelona Nussbaum, M., Sen, A., (1993) Quality of life, , (eds), Oxford University Press, New York (2007) Global Report on Human Settlement, , State of the World Cities 2006 2007. Earthscan, ReinoUnido (2009) Global Report on Human Settlement. State of the World Cities 2008 2009, , Earthscan, ReinoUnido Pearson, K., On lines and planes of closest fit to systems of points in space (1901) Philosophical Magazine and Journal of Science, 2 (11), pp. 559-572 Posada, E., Gómez, M., Almanza, J., Análisis comparativo y modelación de las situaciones de calidad del aire en una muestra de ciudades del mundo. Comparación con el caso de Medellín (2017) Revista Politécnica, 13 (25), pp. 9-29 (2016) R: A Language and Environment for Statistical Computing, , https://www.R-project.org/, R Foundation for Statistical Computing, Vienna (2017) Asamblea General (10 Diciembre De 1948). Declaración Universal De Derechos Humanos, 217 (3). , http://www.hchr.org.co/documentoseinformes/documentos/carceles/1_Universales/B%E1sicos/1_Generales_DH/1_Declaracion_Universal_DH.pdf, Resolución, Septiembre, Recuperado de Rodríguez-Pose, A., Tselios, V., Toward inclusive growth: Is there regional convergence in social welfare? (2015) International Regional Science Review, 38 (1), pp. 30-60 Rojas, E., Construir ciudades. Mejoramiento de barrios y calidad de vida urbana (2009) Estados Unidos: Banco Interamericano De Desarrollo (BID) Schneider, M.C., Castillo Salgado, C., Bacallao, J., Loyola, E., Mujica, O., Vidamise, M., Métodos de medición de desigualdades en salud (2002) Revista Panamericana de la salud, 12 (6), pp. 1-29 Sen, A.K., (1980) Equality of what? Tanner lectures on human values, , University of Utah Press, Salt Lake City Sen, A., (1985) Commodities and capabilities, , Oxford University Press, Oxford Sen, A., (1992) Inequality reexamined, , Clarendon, Oxford Sen, A., Capability and well-being (1993) The quality of life, pp. 44-55. , Nussbaum MC, Sen A, (eds), Oxford University Press, Oxford Sen, A., (2000) Development as freedom, , Anchor, New York Sen, A., (2002) Rationality and freedom, , Belknap Press, Cambrigde, MA Sen, A.K., Capabilities, lists, and public reason: Continuing the conversation (2004) Feminist Economics, 10 (3), pp. 77-80 Shah, N., Marks, N., (2004) Well-being manifesto for a flourishing society, , Nef, London Silva, G., Romero, M., Sustentabilidade urbana aplicada: Análise dos processos de dispersão, densidade e uso e ocupação do solo para a cidade de Cuiabá, Estado de Mato Grosso (2015) Brasil. EURE, 41 (122), pp. 209-237 Tapia López, J.E., (2007) El Escalamiento óptimo Con Base En El análisis De Componentes Principales No Lineales Para La construcción De índices De Condiciones De Vida Y socioeconómicos, , Aplicación en el ámbito nacional. Bachelor s thesis. Quito/EPN Tonon, G., La entrevista semi-estructurada como técnica de investigación (2009) Reflexiones Latinoamericanas Sobre investigación Cualitativa, pp. 46-68. , En G. Tonon (comp.), San Justo: Prometeo-UNLAM Tonon, G., (2016) Indicators of quality of life in Latin America Social Indicators Research, 62. , Springer, Berlin Tonon, G., Aragón, S., (2012) Jóvenes Ciudadanos: Experiencias De participación En América Latina, , Tonon, G., & Aragón, S. (compiladores-editores) (2012), Llavallol, UNI-COM, Facultad de Ciencias Sociales, Universidad Nacional de Lomas de Zamora Vaughan, R., Walker, M., Capability, values and educational policy (2012) Journal of Human Development and Capabilities: A Multi-Disciplinary Journal for People-Centered Development, 13 (3), pp. 495-512. , (Special Issue: Education and Capabilities Young, F.W., Quantitative analysis of qualitative data (1981) Psychometrika, 46, pp. 357-388 Zarzosa Espina, P., (2005) La Calidad De Vidaenlosmunicipios De La Provinciade Valladolid, , Zarzosa Espina, P. (dir.) (2005), Valladolid, Diputación Provincial de Valladolid |
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20192020-04-29T14:53:41Z2020-04-29T14:53:41Z3038300http://hdl.handle.net/11407/569110.1007/s11205-019-02088-xAccording 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.engSpringer NetherlandsFacultad de Ciencias BásicasFacultad de Ciencias Básicas;Facultad de Ciencias Sociales y Humanashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068740468&doi=10.1007%2fs11205-019-02088-x&partnerID=40&md5=2ed5e3c6a3e02bfbd8d861bd8659c182144312331256(2011) Indicador de Calidad de Vida. Medellín 2004 2010, , Departamento Administrativo de Planeacióla Alcaldía de Medellín, Medellín(2012) Informe De Calidad De Vida De Medellín: Medellín Como Vamos, , http://redcomovamos.org/wp-content/uploads/2014/03/Informe-de-Calidad-de-Vida-de-Medell%C3%ADn-2012.pdf, Septiembre 2017. Recuperado de(2013) Informe De Calidad De Vida De Medellín: Medellín Como Vamos, , http://redcomovamos.org/wp-content/uploads/2014/06/Informe-de-Calidad-de-Vida-de-Medell%C3%ADn-2013.pdf, Septiembre 2017. Recuperado de(2013) Encuesta De percepción Ciudadana De Medellín, , http://www.medellincomovamos.org/informe-de-resultados-de-la-encuesta-de-percepcion-ciudadana-2013, Septiembre 2017. Recuperado deAli, K., Partridge, M.D., Olfert, M.R., Can geographically weighted regressions improve regional analysis and policy making? (2007) International Regional Science Review, 30 (3), pp. 300-329Amara, M., Ayadi, M., The local geographies of welfare in Tunisia: Does neighbourhood matter? (2013) International Journal of Social Welfare, 22 (1), pp. 90-103Anselin, L., The Moran Scatterplot as an ESDA tool to assess local instability in spatial association (1993) Paper Presented at the GISDATA Specialist Meeting on GIS and Spatial Analysis, , Amsterdam, The Netherlands, December 1 5 (West Virginia University, Regional Research Institute, Research Paper 9330)Anselin, L., Local indicators of spatial association LISA (1995) Geographical analysis, 27 (2), pp. 93-115Aslam, A., Corrado, L., The geography of well-being (2012) Journal of Economic Geography, 12 (3), pp. 627-649Aznar, A., Mur, J., Trívez, F., (1996) Métodos econométricos En El análisis Regional, pp. 237-264. , Actas de la XXII Reunión de Estudios Regionales, de la Asociación Española de Ciencia Regional. Pamplona/Iruña, de noviembre de 20 22, 1996Benson, T., Chamberlin, J., Rhinehart, I., An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi (2005) Food Policy, 30 (5), pp. 532-550Campanera, J., Higgins, P., The quality of life in English local authority areas (2011) Local Government Studies, 37 (2), pp. 145-169Carrasco, A., Martínez, L., Moreno, A., Revisión crítica de la medición del bienestar desde una perspectiva interdisciplinar: hacia una propuesta de indicadores subjetivos y espaciales (2013) Prisma Social, 11, pp. 91-122Charlton, M., Brunsdon, C., Demsar, U., Harris, P., Fotheringham, S., Principal components analysis: From global to local (2010) 13Th AGILE International Conference on Geographic Information Science, , Guimaraes, PortugalChatfield, C., Collins, A.J., (1980) Introduction to multivariate analysis, , Chapman and Hall, London(2013) Encuesta Nacional De Calidad De Vida, , https://formularios.dane.gov.co/Anda_4_1/index.php/catalog/213/export, Septiembre 2017. Recuperado deDiener, E., Suh, E., Measuring quality of life: Economic, social, and subjective indicators (1997) Social Indicators Research, 40 (1), pp. 189-216Echeverri, A., Orsini, F.M., Informalidad y urbanismo social en Medellín (2011) Sostenible?, 12, pp. 11-24Echeverri Restrepo, D., Pareja López, A., Meneses Ramírez, E.A., (2016) Toxicidad in Vitro Del Material Particulado (MP) Del área Urbana De Medellín(2011) Territorial Agenda of the European Union 2020. Towards an Inclusive, Smart and Sustainable Europe of Diverse Regions, , Publications Office of the European Union, Luxembourg(2013) Quality of life in cities, , Publications Office of the European Union, LuxembourgFernández, L.C.M., Mínguez, A.M., de la Torre, I.M., La calidad de vida en el territorio local: propuesta metodológica y práctica de campo (2016) Revista Prisma Social, 17, pp. 319-342Fotheringham, A.S., Brunsdon, C., Charlton, M., (2002) Geographically weighted regression: the analysis of spatially varying relationships, , Wiley, Hoboken, NJFukuyama, F., Colby, S., Half a Miracle: Medellín s rebirth is nothing short of astonishing. But have the drug lords really been vanquished? 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(2005), Valladolid, Diputación Provincial de ValladolidSocial Indicators ResearchGeographically weighted principal components analysisPrincipal components analysisQuality of lifeSpatial autocorrelationSpatial non-stationaritySpatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, ColombiaArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Sepúlveda 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, Colombiahttp://purl.org/coar/access_right/c_16ecSepúlveda Murillo F.H.Chica Olmo J.Soto Builes N.M.11407/5691oai:repository.udem.edu.co:11407/56912020-05-27 19:00:49.212Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |