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dc.rights.licenseAl consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.es_CO
dc.contributor.advisorPáez Barajas, Daniel Eduardo
dc.contributor.advisorGuzmán García, Luis Angel
dc.contributor.advisorRajabifard, Abbas
dc.contributor.authorCárdenas Reyes, Sebastian Alejandro
dc.coverage.spatialBogotáes_CO
dc.date.accessioned2018-09-28T11:01:18Z
dc.date.available2018-09-28T11:01:18Z
dc.date.issued2017es_CO
dc.identifier.urihttp://hdl.handle.net/1992/13906
dc.descriptionilustraciones, mapas a colores_CO
dc.descriptionIncluye referencias bibliográficases_CO
dc.descriptiontextoes_CO
dc.descriptioncomputadoraes_CO
dc.descriptionrecurso en líneaes_CO
dc.description.abstractIn rapidly growing cities on developing countries, urban sprawl has been a trend. The city of Bogota and its adjacent municipalities have undergone densification processes during the last decades, especially on peripheral locations where low-income settlements have established. This study uses ordinary least squares (OLS) and geographically weighted regression (GWR) models to include density analysis in a Land-use cover change (LUCC) model based on cellular automata. Variables related to residential land-use and transport and urban oriented variables on housing built area were used to predict future population densities. The global regression model (OLS), is used to estimate statistically significant explanatory variables and overall model significance, while the local regression model (GWR), estimates parameters differently depending on spatial weighting among neighboring geographical zones. An indirect methodological approach was established to calculated population density on a Iow-resolution scale, using a well-specified GWR model that determine housing built area. The methodology proposed was tested in a case study in the city of Bogota. Results for Bogota suggest the methodology proposed improved the capability of LUCC models to derive densities. Further research is needed to better understand densification processes in the context of sustainable development for the city of Bogota and its regiones_CO
dc.format.extent1 recurso en línea (20 hojas)es_CO
dc.format.mediumarchivo de textoes_CO
dc.language.isoenges_CO
dc.publisherUniandeses_CO
dc.sourceinstname:Universidad de los Andeses_CO
dc.sourcereponame:Sénecaes_CO
dc.titleA methodological approach to estimate population density in a land-use cover change model - a case study in Bogota - Colombiaes_CO
dc.typemasterThesises_CO
dc.publisher.programMaestría en Ingeniería Civiles_CO
dc.rights.accessRightsopenAccess
dc.subject.keywordUso de la tierra urbana - Investigaciones - Bogotá (Colombia)es_CO
dc.subject.keywordDensidad de población - Investigaciones - Bogotá (Colombia) - Estudio de casoses_CO
dc.subject.keywordMínimos cuadrados - Investigaciones - Bogotá (Colombia) - Estudio de casoses_CO
dc.creator.degreeTesis (Magíster en Ingeniería Civil) -- Universidad de los Andeses_CO
dc.identifier.urlhttp://biblioteca.uniandes.edu.co/acepto201699.php?id=12061.pdfes_CO
dc.publisher.facultyFacultad de Ingenieríaes_CO
dc.publisher.departmentDepartamento de Ingeniería Civil y Ambientales_CO
dc.type.versionpublishedVersion


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