Divide and Conquer, Mix and Match - A top-down and bottom-up approach to building information visualization

Tauscher, Helga and Scherer, Raimar J.

ecaade2016_139

authors

Tauscher, Helga and Scherer, Raimar J.

year

2016

title

Divide and Conquer, Mix and Match - A top-down and bottom-up approach to building information visualization

source

Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 611-620

summary

This paper seeks to explore the process of generating visual representations from building information models in a formal way. Based on the reference model of the visualization pipeline a more advanced model is developed which allows for the consideration of different levels of detail in all stages of the visualization pipeline. The construction of complex visualizations from simpler building blocks is complemented by the successive subdivision of building information to generate the partial visualizations from. The contributions of this paper are threefold. First, it provides a formal model for information models, for visualization models and for the connection between the two sides expressed with mathematical logic. Second, it generalizes the idea of construction multimodels and utilizes it in a new way in the context of visualizations. Third, it connects the multimodel concept as a model of complex information models to the visualization pipeline as a model of the visualization process.

wos

WOS:000402064400062

keywords

Building Information Modelling; Multimodel Visualization; Formal Model

series

eCAADe

helga.tauscher@tu-dresden.de

full text

file.pdf (589,079 bytes)

references

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	Brunetti, JM, Auer, S, Garæia, R, Klímek, J and Nevèaský, M (2013) Formal Linked Data Visualization Model , 15th International Conference on Information Integrationand Web-based Applications & Services (iiWAS), Vienna

	Chen, PPS (1976) The Entity-Relationship Model: Toward a Unified View ofData , ACM Transactions on Database Systems, 1(1), pp. 9-36

	Chi, EH (1999) A Framework for Information Visualization Spreadsheets , Ph.D. Thesis, University of Minnesota

	Dorling, D (1996) Area Cartograms: Their Use and Creation , Quantitative Methods Study Group of the Institute of British Geographers

	Fuchs, S, Kadolsky, M and Scherer, R (2011) Formal Description of a Generic Multi-Model , WETICE - 20th International Conference on CollaborationTechnologies and Infrastructures, Paris, France

	Haber, RB and McNabb, DA (1979) Visualization Idioms: A Conceptual Model for ScientificVisualization Systems , Nielson, GM, Shriver, B and Rosenblum, LJ (eds), Visualization in Scientific Computing, IEE Computer Science Press, Los Alamitos, CA

	Keim, D, Kohlhammer, J, Ellis, G and Mansmann, F (eds) (2010) Mastering the Information Age: Solving Problems with Visual Analytics , Eurographics Association, Goslar, Germany

	Miller, GA (1955) The Magical Number Seven, Plus or Minus Two: Some Limitson Our Capacity for Processing Information , Psychological Review, 101(2), pp. 343-352

	Pinter, CC (2014) A Book of Set Theory , Dover Publications

	Tauscher, H, Voigt, M and Scherer, RJ (2011) Integrating visual presentations of construction multimodels: Visualization design space exploration , ConVR 2011: Proceedings of the 11th InternationalConference on Construction Applications of Virtual Reality2011, Weimar, Germany

last changed

2017/06/28 08:46