Introduction

Bertin, J. (1983). Semiology of Graphics: Diagrams, Networks, Maps. University of Wisconsin Press, Madison, WI, USA. translated by William J. Berg. Google Scholar

Card, S., Mackinlay, J., and Shneiderman, B. (1999). Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, San Francisco, CA, USA. Google Scholar

Chi, E. H. (2000). A Taxonomy of Visualization Techniques Using the Data State Reference Model. In Proceedings of the IEEE Symposium on Information Visualization (InfoVis), pages 69–76, Washington, DC, USA. IEEE Computer Society. Google Scholar

dos Santos, S. and Brodlie, K. (2004). Gaining Understanding of Multivariate and Multidimensional Data through Visualization. Computers & Graphics, 28:311–325. CrossRefGoogle Scholar

Haber, R. B. and McNabb, D. A. (1990). Visualization Idioms: A Conceptual Model for Scientific Visualization Systems. In Visualization in Scientific Computing, pages 74–93. IEEE Computer Society, Los Alamitos, CA, USA. Google Scholar

Mackinlay, J. (1986). Automating the Design of Graphical Presentations of Relational Information. ACM Transactions on Graphics, 5(2):110–141. CrossRefGoogle Scholar

McCormick, B. H., DeFanti, T. A., and Brown, M. D. (1987). Visualization in Scientific Computing. Computer Graphics, 21(6). Google Scholar

Mennis, J. L., Peuquet, D., and Qian, L. (2000). A Conceptual Framework for Incorporating Cognitive Principles into Geographical Database Representation. International Journal of Geographical Information Science, 14(6):501–520. CrossRefGoogle Scholar

Rind, A., Miksch, S., Aigner, W., Turic, T., and Pohl, M. (2010). VisuExplore: Gaining New Medical Insights from Visual Exploration. In Hayes, G. R. and Tan, D. S., editors, Proceedings of the 1st International Workshop on Interactive Systems in Healthcare (WISH@CHI2010), pages 149–152, New York, NY, USA. ACM Press. Google Scholar

Robertson, P. K. (1991). A Methodology for Choosing Data Representations. IEEE Computer Graphics and Applications, 11(3):56–67. CrossRefGoogle Scholar

Schumann, H. and Müller, W. (2000). Visualisierung – Grundlagen und allgemeine Methoden. Springer, Berlin, Germany. MATHGoogle Scholar

Shneiderman, B. (1996). The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In Proceedings of the IEEE Symposium on Visual Languages, pages 336–343, Los Alamitos, CA, USA. IEEE Computer Society. CrossRefGoogle Scholar

Silva, S. F. and Catarci, T. (2000). Visualization of Linear Time-Oriented Data: A Survey. In Proceedings of the International Conference on Web Information Systems Engineering (WISE), pages 310–319, Los Alamitos, CA, USA. IEEE Computer Society. CrossRefGoogle Scholar

Spence, R. (2007). Information Visualization: Design for Interaction. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 2nd edition. Google Scholar

Udell, J. (2004). Space, Time, and Data. InfoWorld, 26(26):32. Google Scholar

Van Wijk, J. J. (2006). Views on Visualization. IEEE Transactions on Visualization and Computer Graphics, 12(4):421–433. Google Scholar

Ward, M., Grinstein, G., and Keim, D. (2010). Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters Ltd, Natick, MA, USA. Google Scholar

Wehrend, S. and Lewis, C. (1990). A Problem-Oriented Classification of Visualization Techniques. In Proceedings of IEEE Visualization (Vis), pages 139–143, Los Alamitos, CA, USA. IEEE Computer Society. Google Scholar

Wong, P. C. and Bergeron, R. (1997). 30 Years of Multidimensional Multivariate Visualization. In Nielson, G. M., Hagen, H., and Müller, H., editors, Scientific Visualization, pages 40–62. IEEE Computer Society, Los Alamitos, CA, USA. Google Scholar

Yi, J. S., ah Kang, Y., Stasko, J., and Jacko, J. (2007). Toward a Deeper Understanding of the Role of Interaction in Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6):1224–1231. CrossRefGoogle Scholar