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Abstract
Urban Morphology is highly dependent on urban spatial data. For a long time, the difficulty in obtaining it constituted an obstacle to the development of researches in this area. However, more recently, the increase in the availability of data, the emergence of big data and the growing development of tools and information technologies, has been opening new possibilities to explore digitally the territory. It is not just the abundant availability of data and software to manipulate it, but new capabilities to integrate it, which encourages to cross-disciplinary boundaries. This article focuses on the relationship between the field of urban morphology, characterized by well-defined outlines in terms of what kind of data is required, and what has been done at the frontier of knowledge, where data of different types are combined. As a contribution, this work points out new insights for future research, showing how urban morphology can benefit from this data revolution, especially by using new descriptive and analytical mechanisms. In this sense, we outline a multilayer graph approach, which is still little explored in urban studies, despite showing potential for a) multidimensional descriptions of urban form; b) explorations of space-time assessments.
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