6533b860fe1ef96bd12c3640

RESEARCH PRODUCT

Social features, Spatial features, Time features: An urban archaeological data model

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http://proceedings.caaconference.org/files/2007/64_Rodier_Saligny_CAA2007.pdf; International audience; The use of GIS to study the spatial evolution of pre-industrial cities over the "longue durée" requires rigorous formalisation of heterogeneous data from different sources into robust entities. An initial model using the HBDS (Hypergraph Based Data Structure) method enabled us to distinguish social and spatial features. In this paper, we develop a specific model for the temporal dimension. The definition of urban objects using social, spatial and temporal features enhances the study of urban dynamics and of change over the "longue durée".