The joint representation of spatio-temporal data is a wellknown problem in digital twins and urban planning. There is also a lack of a basic ontology to understand hybrid spaces. This paper develops a spatio-temporal model to visualize dynamic topologies of hybrid spaces in three layers: places and media types, perception and time and interaction. The model chooses the paradigm of place instead of space. Places contain memory and interaction. User interactions are mapped as spatio-temporal topologies, representing communities. Modality, media range, interactions, response and completion rates were calculated. The
model was tested in a citizen science project during an art exhibition. User data were collected via user interactions, an online survey and questionnaires. Dynamic topologies of hybrid spaces were depicted in a computer-generated animation. Different communities could be identified through modality and activity. Media range and urban density turned out to be equivalent concepts. The model depicted both a traditional and a hybrid urban concept. The results of this study convey a new and groundbreaking understanding of urban space.
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The joint representation of spatio-temporal data is a wellknown problem in digital twins and urban planning. There is also a lack of a basic ontology to understand hybrid spaces. This paper develops a spatio-temporal model to visualize dynamic topologies of hybrid spaces in three layers: places and media types, perception and time and interaction. The model chooses the paradigm of place instead of space. Places contain memory and interaction. User interactions are mapped as spatio-temporal topol...
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