CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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As a case study, the proposed neural network model has been used to map ‘urban territory’, as part of an on going architectural research project, based in North London. The project takes the notion of ‘urban territories’ rather than ‘urban space’ as the field for interrogation, as a description of temporal spatial occupation space, rather than spatial physical permanence.
Furthermore, the GNN may be used to identify the relationships between unused and vacant sites along the street. In this way, the GNN may become a means of proposing architectural interventions for these spaces, so that the territories of those that occupy it and the negotiations between them are not lost.
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