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Spatial Behavioral Model-Based Dynamic Data-Driven Diagram Information Model

Authors: Chiung-Hui Chen

Abstract:

Diagram and drawing are important ways to communicate and the reproduce of architectural design, Due to the development of information and communication technology, the professional thinking of architecture and interior design are also change rapidly. In development process of design, diagram always play very important role. This study is based on diagram theories, observe and record interaction between man and objects, objects and space, and space and time in a modern nuclear family. Construct a method for diagram to systematically and visualized describe the space plan of a modern nuclear family toward an intelligent design, to assist designer to retrieve information and review event pattern of past and present.

Keywords: Data Analysis, information model, digital diagram, context aware

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1106691

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References:


[1] Corbusier, L. (1985). Towards a New Architecture. Dover Publications
[2] Allen, J.F. (1983). Maintaining knowledge about temporal intervals. Communications of the ACM 26(11):832-843.
[3] Allen, J.F. (1984). Towards A General Theory of Action and Time. Artificial Intelligence 23(2):123-154.
[4] Allen, J.F. and Hayes, P.J. (1989). Moments and Points in an Interval-Based Temporal Logic. Computational Intelligence 5(3):225-238.
[5] Allen, J.F. (1991). Time and time again: The many ways to represent time Int'l. Jr. of Intelligent Systems 6(4): 341-356.
[6] Allen, J.F. & Ferguson, G. (1994). Actions and Events in Interval Temporal Logic, Journal of Logic and Computation 4 (5): 531-579.
[7] Allen, S. (2000). Notations + Diagrams: Mapping the Intangible, in S. Allen and D. Agrest, eds., Practice: Architecture, Technique and Representation, pp.41-61.
[8] Bostock, M., Ogievetsky, V., & Heer, J. (2011). D3: Data-Driven Documents, IEEE Transactions on Visualization and Computer Graphics 17(12):2301-2309.
[9] Dewar, M., Steele, J., & Blanchette, M., eds. (2012). Getting Started with D3: Creating Data-Driven Documents (1st ed.), Sebastopol, California: O’Reilly Media.
[10] Fry, B. (2007). Visualizing Data: Exploring and Explaining Data with the Processing Environment (1st ed.), O'Reilly Media.
[11] Giddens, A. (1986). Sociology: A brief but critical introduction (2nd ed). London: Macmillan.
[12] Jones, J.C. (1992). Design Methods. David Fulton Publisher.
[13] Korkea-aho, M. (2000). Context-Aware Applications Survey, Department of Computer Science Helsinki University of Technology, available from: http://www.cse.tkk.fi/fi/opinnot/T-110.5190/2000/applications/context-a ware.html
[14] Murdock, G. P. (1970). Kin Term Patterns and their Distribution. Ethnology 9 (2): 165–207.
[15] Murdock, G. P. (1980). Theories of Illness: A World Survey. Pittsburgh: The University of Pittsburgh Press.
[16] Murdock, G. P. (1981). Atlas of World Cultures. Pittsburgh: The University of Pittsburgh Press.
[17] Murdock, G. P. & White, D. R. (1969). Standard Cross-Cultural Sample. Ethnology 8 (4): 329–69.
[18] Murray, S. (2013). Interactive Data Visualization for the Web: An Introduction to Designing with D3 (1st ed.), Sebastopol, California: O’Reilly Media.
[19] MVRDV. (1999a). Farmax: Excursions on Density. Netherland: Winy Mass, 010 Publishers.
[20] MVRDV. (1999b). Metacity / Datatown. Netherland: Winy Mass,010 Publishers.
[21] Reas, C. & Fry, B. (2010). Getting Started with Processing (1st ed.), Make.
[22] Ritchie, S. K. (2014). Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript (1st ed.), Addison-Wesley Professional.
[23] Schilit, B., Adams, N., & Want, R. (1994). Context-Aware Computing Applications, In Proceedings of IEEE Workshop on Mobile Computing Systems and Applications, pp. 85-90.
[24] Schmidt, A., & Aidoo, K.A. (1999). Advanced Interaction in Context. In Proceedings of the 1th International Symposium on Handheld and Ubiquitous Computing (HUC99), Springer LNCS, pp.89-101.
[25] Schmidt, A. (2000). Implicit human computer interaction through context, In: Personal and Ubiquitous Computing 4 (2):191-199.
[26] Schumacher, P. (2010). The Autopoiesis of Architecture: v. 1: A New Framework for Architecture: A Conceptual Framework for Architecture, John Wiley and Sons Ltd.
[27] Schumacher, P. (2012). The Autopoiesis of Architecture: v. 2: A New Agenda for Architecture, John Wiley and Sons Ltd.
[28] Spuybroek, L. (2010). NOX Diagrams. in M. Garcia ed., The Diagrams of Architecture, pp.270-281.
[29] Terzidis, K. (2006). Algorithmic Architecture. MA: Architectural Press.
[30] Timms, S. (2013). Social Data Visualization with HTML5 and JavaScript (1st ed.), Birmingham: Packt Publishing.
[31] Tufte, E. R. (1992). Envisioning Information. Cheshire, CT, USA: Graphics Press.
[32] UN Studio. (1999).Move, Netherland: Goose Press.
[33] Yau, N. (2011). Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics (1st ed.), Wiley Press.