UDMV15: Eurographics Workshop on Urban Data Modelling and Visualisation

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https://diglib.eg.org/handle/10.2312/13879

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Browsing UDMV15: Eurographics Workshop on Urban Data Modelling and Visualisation by Subject "I.3.3 [Computer Graphics]"

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    Combining Geometry, Topology and Semantics for Generic Building Description and Simulations
    (The Eurographics Association, 2015) Horna, Sébastien; Damiand, Guillaume; Diakité, Abdoulaye; Meneveaux, Daniel; Filip Biljecki and Vincent Tourre
    2D and 3D virtual architectural models are the common ground of many studies, including environmental protection, energy saving, or human well-being. Building or urban environment simulations concern for instance heat transfer, lighting, and acoustics, each of them requiring physical parameters additionally to the geometric representation. Furthermore, geometry does not generally comply straightforwardly with physical parameters and users are forced to manually adapt the models before simulation. This paper proposes an overview of modeling and simulation studies that make use of topological representations, and discusses the advantages of a topological representation for various types of applications. Such a representation can be used not only to maintain the 3D model global coherence, but also to automatically retrieve walls, doors, or room volumes for instance. Based on the existing model of generalized maps, this paper also illustrates some examples of structure traversal that can be used for providing the users with adequate simulation data.
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    Who are my Visitors and Where do They Come From? An Analysis Based on Foursquare Check-ins and Place-based Semantics.
    (The Eurographics Association, 2015) Hallot, P.; Stewart, K.; Billen, Roland; Filip Biljecki and Vincent Tourre
    Activity recommendation systems aims at providing relevant information depending on targeted users' groups. For instance in a city, it makes sense to differentiate local residents from tourists. This research investigates to what extent the anonymized data collected from social networks can be used as a basis for making activity recommendations associated with local residents versus tourists when visiting a public place, such as a museum or gallery. Using rules based on the spatial, temporal and semantics of visited places, we are able to infer if a user is likely to be local or a tourist, based on anonymous sample Foursquare data and place-based semantics retrieved using Google Places API. Using semantics of visited places, it becomes possible to infer additional information about a user based on their movements over space and time. Depending on the kind and frequency of visited places, inferences about the aim of a visit to a location are possible. This analysis could provide information to users in the form of recommendations based on their movements while travelling around an area. This study has been performed using Foursquare check-ins for visitors to the Art Institute of Chicago between March 2010 and January 2011.