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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.26754/ojs_zarch/zarch.2022197412</dc:identifier><dc:language>eng</dc:language><dc:creator>García-Pérez, Sergio</dc:creator><dc:creator>Martínez-Díez, Pablo</dc:creator><dc:creator>Santamaría-Varas, Mar</dc:creator><dc:title>Granularity, consistency and scalability in morphological studies. On some recent Works by Dani Arribas-Bel and Martin Fleischmann</dc:title><dc:identifier>ART-2022-132803</dc:identifier><dc:description>Some recent work by Martin Fleischmann and Dani Arribas-Bel offers a chance to talk with them about data analysis applied to the study of the form and behaviour of our cities. Their reflections, from an academic perspective, suggest some valuable ideas about the opportunities of working with data, about the use of artificial intelligence in the study of urban fabrics and about the sense of responsibility of their work.</dc:description><dc:date>2022</dc:date><dc:source>http://zaguan.unizar.es/record/124407</dc:source><dc:doi>10.26754/ojs_zarch/zarch.2022197412</dc:doi><dc:identifier>http://zaguan.unizar.es/record/124407</dc:identifier><dc:identifier>oai:zaguan.unizar.es:124407</dc:identifier><dc:identifier.citation>ZARCH 19 (2022), 186-197</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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