Abstract
The linked views paradigm is a method of taking multiple simple views of data and allowing interactions with one to modify the display of data in all the linked views. A simple example is that selecting a data case in one view shows that data case highlighted in all other views. In this section we define the underlying methodology and show how it has been applied historically and how it can be extended to provide enhanced power. In particular we focus on displays of aggregated data and linking domain-specific views such as graph layouts and maps to statistical views.
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References
Ahlberg, C. and Shneiderman, B. (1994). Visual information seeking: tight coupling of dynamic query filters with starfield displays, Human Factors in Computing Systems. Conference Proceedings CHI’94, pp. 313–317. citeseer.ist.psu.edu/ahlberg94visual.html
Apple Computer (1992). Macintosh Human Interface Guidelines, Addison-Wesley Longman, Boston.
Becker, R., Cleveland, W. and Wilks, A. (1987). Dynamic graphics for data analysis (with discussion), Stat Sci 2:355–395. Reprinted in: Cleveland WS, McGill ME (eds) Dynamic Graphics for Data Analysis, Wadsworth and Brooks/Cole, Pacific Grove, CA.
Haslett, J., Wills, G. and Unwin, A. (1990). Spider – an interactive statistical tool for the analysis of spatially distributed data, Int J Geograph Inf Syst 4(3):285–296.
Inselberg, A. (1985). The plane with parallel coordinates, Visual Comput 1:69–91.
Maxis (1985). SimCity User Manual, Maxis, Walnut Creek, CA.
McDonald, J., Stuetzle, W. and Buja, A. (1990). Painting multiple views of complex objects, Proceedings of ECOOP/OOPSLA’90 European conference on object oriented programming, Vol. 1, ACM Press, pp. 245–257.
Microsoft (1999). The Microsoft Windows User Experience, Microsoft Press, Redmond, WA.
Shneiderman, B. (1992). Tree visualization with tree-maps: A 2-d space-filling approach, ACM Trans Graph 11(1):92–99. citeseer.ist.psu.edu/shneiderman91tree.html
Swayne, D., Cook, D. and Buja, A. (1991). Xgobi: interactive dynamic graphics in the X Window system with a link to s, Proceedings of the ASA Section on Statistical Graphics, American Statistical Association, Alexandria, VA, pp. 1–8. citeseer.ist.psu.edu/swayne91xgobi.html
Swayne, D., Lang, D., Buja, A. and Cook, D. (2003). Ggobi: evolving from xgobi into an extensible framework for interactive data visualization, Comput Stat Data Anal 43(4):423–444.
Tierney, L. (1990). LISP-STAT: an object oriented environment for statistical computing and dynamic graphics, Wiley-Interscience, New York.
Velleman, P. (1988). The DataDesk Handbook, Odesta, Ithaca, NY.
Wilkinson, L. (1999). The Grammar of Graphics, Springer, New York.
Wills, G. (1999). Nicheworks – interactive visualization of very large graphs, J Comput Graph Stat 8(2):190–212. citeseer.ist.psu.edu/wills97nicheworksinteractive.html
Wills, G. (2000). Natural selection: interactive subset creation, J Comput Graph Stat 9(3):544–557. http://www.amstat.org/publications/jcgs/abstracts00/Wills.htm
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© 2008 Springer-Verlag Berlin Heidelberg
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Wills, G. (2008). Linked Data Views. In: Handbook of Data Visualization. Springer Handbooks Comp.Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33037-0_10
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DOI: https://doi.org/10.1007/978-3-540-33037-0_10
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