Papers of VizBi ’14 keynote by Jeff Heer

Last week I attended the Visualizing Biological Data (VizBi) conference in Heidelberg. According to the website the mission of the conference is to “ bring together scientists, illustrators, and designers actively using or developing computational visualization to study a diverse range of biological data.”. I can only say the organisers more than succeeded in this mission, it was indeed a very interdisciplinary, creative and interactive crowd. The first keynote of VizBi ’14 was presented by Jeffrey Heer from the University of Washington, since the papers he referred to are mostly published in non-PubMed journals I tried to collect links to the pdfs here. Update: Added two more references supplied by Heer.

Tukey, J. & Wilk, M. Data analysis and statistics: an expository overview. Proc. Novemb. 7-10, 1966, fall join 695–710 (1966).

Jacques Bertin  Sémiologie Graphique, 1967  is a book

Mackinlay, J. Automating the design of graphical presentations of relational information. ACM Trans. Graph. 5, 110–141 (1986).

Tversky, B., Morrison, J. & Betrancourt, M. Animation: can it facilitate? Int. J. human- … 57, 247–262 (2002).

Stevens, S. The psychophysics of sensory function. Am. Sci. 48, 226–253 (1960).

Cleveland, W. & McGill, R. Graphical Perception and Graphical Methods for Analyzing Scientific Data. Science (80-. ). 299, 828–833 (1985).

 Cleveland, W. & McGill, R. Graphical perception: Theory, experimentation, and application to the development of graphical methods. J. Am. Stat. 79, 531–554 (1984).

Savva, M., Kong, N. & Chhajta, A. Revision: automated classification, analysis and redesign of chart images. Proc. 24th … (2011).

Meyer, M., Wong, B., Styczynski, M., Munzner, T. & Pfister, H. Pathline: A Tool For Comparative Functional Genomics. Comput. Graph. Forum 29, 1043–1052 (2010).

Borkin, M. a et al. Evaluation of artery visualizations for heart disease diagnosis. IEEE Trans. Vis. Comput. Graph. 17, 2479–88 (2011).

Tufte, The Visual Display of Quantitative Information 1983 is a book

Heer, J., Kong, N. & Agrawala, M. Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations. Proc. SIGCHI Conf. (2009).

Heer, J. & Bostock, M. Crowdsourcing graphical perception: using mechanical turk to assess visualization design. Proc. SIGCHI Conf. Hum. (2010).

Chi, M. T. H. Quantifying Qualitative Analyses of Verbal Data: A Practical Guide. J. Learn. Sci. 6, 271–315 (1997).

Pirolli, P. & Card, S. Information foraging. Psychol. Rev. (1999).

Pirolli, P., Card, S. & Wege, M. Van Der. The effect of information scent on searching information: visualizations of large tree structures. 161–172 (2000).

Heer, J. & Card, S. DOITrees revisited: scalable, space-constrained visualization of hierarchical data. Proc. Work. Conf. Adv. … (2004).

Ware, C. Information visualization: perception for design. 27 (Morgan Kaufmann, 2004).

Cleveland, W. & McGill, R. Graphical Perception and Graphical Methods for Analyzing Scientific Data. Science (80-. ). 299, 828–833 (1985). (already mentioned above)

Munzner, T. A nested model for visualization design and validation. IEEE Trans. Vis. Comput. Graph. 15, 921–8 (2009).