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Domestic Big Data. Cluster tool for the analysis, assessment, diagnosis and design of the contemporary collective housing in dense city centres

 

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Opened Access Domestic Big Data. Cluster tool for the analysis, assessment, diagnosis and design of the contemporary collective housing in dense city centres
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Título alternativo: Domestic Big Data. Cluster tool para el análisis, evaluación, diagnóstico y proyecto de la vivienda colectiva contemporánea en los centros densificados de la ciudad
Author: Sallago Zambrano, Borja
Coordinator/Director: Tejedor Cabrera, Antonio
Molina Huelva, Marta
Date: 2017
Published in: IDA: Advanced Doctoral Research in Architecture (1º. 2017. Sevilla) (2017), p 1135-1155
ISBN/ISSN: 978-84-16784-99-8
Document type: Presentation
Abstract: The aim of this research is to create a tool which could be useful for architects as a methodology applied in projects. Said methodology would allow us to analyze the real state of the housing stock that, after the global crisis just passed, Spain s...
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El proyecto de investigación que se propone persigue la generación de una herramienta que sirva para el arquitecto como metodología de proyecto. Dicha metodología permitirá analizar el estado actual del parque inmobiliario tras la crisis y el stock ...
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Cite: Sallago Zambrano, B. (2017). Domestic Big Data. Cluster tool for the analysis, assessment, diagnosis and design of the contemporary collective housing in dense city centres. En IDA: Advanced Doctoral Research in Architecture (1º. 2017. Sevilla) (1135-1155), Sevilla: Universidad de Sevilla.
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Format: PDF

URI: https://hdl.handle.net/11441/70075

This work is under a Creative Commons License: 
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