S7.1+2+8.1 Visualization Techniques

Visualization Techniques I+II+III

This week talks about visualization techniques, following Shneidermans taxonomy of data types: https://drum.lib.umd.edu/bitstream/handle/1903/5784/TR_96-%C3%82%C2%AD%C3%A2%20%2066.pdf.?sequence=1

Lecture slides:

Franconeri’s Which Visualization?: http://experception.net/Franconeri_ExperCeptionDotNet_ChartChooser.pdf

Additional Readings and Resources

Basic charts

Kryzwinksi and Altman: Error Bars, Nature Methods, 2013

Kryzwinksi and Altman: Visualizing samples with box plots, Nature Methods, 2014

Streit and Gehlenborg: Bar charts and box plots, Nature Methods, 2014

McGill, Tukey, Larsen: Variations of Box Plots, The American Statistician, 1978

Corell and Gleicher: Error Bars Considered Harmful: Exploring Alternative Encodings for Mean and Error, IEEE TVCG 2014

3D data

Gehlenborg, Wong: Into the third dimension, Nature Methods, 2012

Multivariate data

Gehlenborg, Wong: Power of the plane, Nature Methods 2012

Gehlenborg, Wong: Heatmaps, Nature Methods, 2012

Kzywinski, Savig: Multidimensional data, Nature Methods, 2013

Fuchs, Fischer, Mansmann, Bertini, Isenberg: Evaluation of Alternative Glyph Designs for Time Series Data in a Small Multiple Setting, IEEE TVCG 2013

Fuchs, Isenberg, Bezerianos, Fischer, Bertini: The Influence of Contour on Similarity Perception of Star Glyphs, IEEE TVCG 2014

Moritz Stefaner: OECD Better life index

Sets

Lex, Gehlenborg: Sets and intersections, Nature Methods 2014

Alsallakh, Micallef, Aigner, Hauser, Miksch, Rogers: Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. EuroVis, 2014

Geographical data

Bertin: Semiology of Graphics: Diagrams, networks, maps, 1983

Wood, Dykes, Slingsby: Visualisation of origins, destinations and flows with OD maps, The Cartographic Journal, 2010

Temporal data

Aigner, Miksch, Müller, Schumann, Tominski: Visualizing time-oriented data–A systematic view, Computers & Graphics, 2007

Brehmer, M., Lee, B., Bach, B., Riche, N. H., & Munzner, T. (2017). Timelines revisited: A design space and considerations for expressive storytellingIEEE transactions on visualization and computer graphics23(9), 2151-2164.

Spatio-temporal data

Andrienko, Andrienko: Exploratory Analysis of Spatial and Temporal Data, Springer Science & Business Media, 2006

Bach, B., Dragicevic, P., Archambault, D., Hurter, C., & Carpendale, S. (2017, September). A descriptive framework for temporal data visualizations based on generalized space‐time cubes. In Computer Graphics Forum (Vol. 36, No. 6, pp. 36-61).

Networks

Gehlenborg, Wong: Networks, Nature Methods, 2012

Beck, F., Burch, M., Diehl, S., & Weiskopf, D. (2014). The state of the art in visualizing dynamic graphsEuroVis STAR2(7), 11.

Von Landesberger, T., Kuijper, A., Schreck, T., Kohlhammer, J., van Wijk, J. J., Fekete, J. D., & Fellner, D. W. (2011, September). Visual analysis of large graphs: state‐of‐the‐art and future research challenges. In Computer graphics forum(Vol. 30, No. 6, pp. 1719-1749). Oxford, UK: Blackwell Publishing Ltd.

Ghoniem, M., Fekete, J. D., & Castagliola, P. (2004, October). A comparison of the readability of graphs using node-link and matrix-based representations. In IEEE Symposium on Information Visualization (pp. 17-24). Ieee.

Henry, N., Fekete, J. D., & McGuffin, M. J. (2007). NodeTrix: a hybrid visualization of social networksIEEE transactions on visualization and computer graphics13(6), 1302-1309.