Urbanismo multivariado: Modelo de análisis como instrumento para la caracterización territorial

Multivariate analysis with databases has become a support tool for the territory study, employing data sources which the great majority came from Geographical Information Systems (GIS). This mechanism is used in the territory of urbanism, especially for making decisions and determining spatial or te...

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Detalles Bibliográficos
Autores principales: Guerrero Carreño, Carol Vanessa, Ipuz Oviedo, Adriana María, Rojas Perdomo, María Paula
Otros Autores: Romero Apráez, Andrés
Formato: Trabajo de grado (Pregrado y/o Especialización)
Lenguaje:spa
Publicado: Universidad Antonio Nariño 2023
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Acceso en línea:http://repositorio.uan.edu.co/handle/123456789/8733
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Sumario:Multivariate analysis with databases has become a support tool for the territory study, employing data sources which the great majority came from Geographical Information Systems (GIS). This mechanism is used in the territory of urbanism, especially for making decisions and determining spatial or territorial problems. There are methodologies applied to the territory study in current contexts; that make use of statistical tools coming from artificial intelligence due to the great quantity of information that is gathered. The functionality of these systems consists in the identification of distribution patterns from variables in order to establish tendencies and estimations of phenomenons in the territory. In that sense, the methodologies of conventional analysis and diagnosis describe physical and socioeconomic aspects to the immersion in the city, it is evidenced by gaps and inconsistencies for the study for the crossing of general systems structurant of the dynamic and statistics relations that are presented in the urban territory. This is why this research takes the city of Neiva - Huila, Colombia, as a study scenario, to propose a methodological model that makes use of these spatial and statistical analysis systems based on information and variables that manage to find problems and relationships between them, to then identify the conditions in their geographical distribution and define strategies for action.
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