Posts Tagged ‘infovis’
The annual IEEE Visualization, IEEE Information Visualization and IEEE Visual Analytics Science and Technology conferences – together known as IEEE Visweek will be held in Providence, RI from October 23rd to October 28th.The detailed conference program is spectacular and can be downloaded here.Some of the new events this year are under the Professional’s Compasscategory. It includes a Blind date lunch (where one can meet some researcher they have never met and learn about each others research), Meet the Editors (where one can meet editors from the top graphics and visualization journals), Lunch with the Leaders session (an opportunity to meet famous researchers in the field) and Meet the faculty/postdoc candidates (especially geared towards individuals looking for a postdoctoral position or a faculty position). I think this is an excellent idea and hope that the event is a hit at the conference.I am also eagerly looking forward towards the two collocated symposia – IEEE Biological Data Visualization (popularly known as biovis) and IEEE LDAV (Large data analysis and visualization). Their excellent programs are out and I’d encourage you to take a look at them.
The tutorials this year look great and I am particularly looking forward to the tutorial on Perception and Cognition for Visualization, Visual Data Analysis and Computer Graphics by Bernice Rogowitz. Here is an outline for the tutorial that can be found on her website. She was one of the first people to recommend that people STOP using the rainbow color map.
The telling stories with data workshop too looks great and will be a continuation of the great tutorial held by the same group last year. I am eagerly looking forward to it.
Apart from this are the excellent papers that will be presented at the conference. I shall write another post about the ones I am particularly looking forward to. With so many exciting events going on, it almost seems like a crime to have all of them happening in the span of a few days.
I shall definitely be blogging about the event as much as I can. You can also follow me on twitter, which will have more real time tweets than the blog which will distil a days worth of information into a post.
Let me know if you are going to be around and I’ll be happy to talk to you.
VAST is the Visual Analytics track at the Annual VisWeek conference. This year the VisWeek conference will be held in Atlantic city, NJ from October 11th-16th. In the next few posts, I shall post my views on things to look out for in each of the tracks at the VisWeek conference: VAST, Vis and Infovis. Here are some exciting talks/panels/sessions that I’m looking forward to this year (Links and other material shall be updated as soon as the papers are available):
Interactive Visual Clustering of Large Collections of Trajectories,
Gennady Andrienko, Natalia Andrienko, Salvatore Rinzivillo, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
A Framework for Uncertainty-Aware Visual Analytics
Carlos D. Correa, Yu-Hsuan Chan, Kwan-Liu Ma
Parallel Tag Clouds to Explore and Analyze Faceted Text Corpora (YouTube Video)
Christopher Collins, Fernanda B. Viégas, Martin Wattenberg
Describing Story Evolution from Dynamic Information Streams
Stuart Rose, Scott Butner, Wendy Cowley, Michelle Gregory, Julia Walker
Evaluating Visual Analytics Systems for Investigative Analysis: Deriving Design Principles from a Case Study
Youn-ah Kang, Carsten Görg, John Stasko
Visual Analysis of Graphs with Multiple Connected Components
Tatiana von Landesberger, Melanie Görner, Tobias Schreck
VAST Best Paper Award: Iterative Integration of Visual Insights during Patent Search and Analysis
Steffen Koch, Harald Bosch, Mark Giereth, Thomas Ertl
FinVis: Applied Visual Analytics for Personal Financial Planning
Stephen Rudolph, Anya Savikhin, David S. Ebert
Visual Opinion Analysis of Customer Feedback Data
Daniela Oelke, Ming Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko
VAST Capstone Panel
How Interactive Visualization Can Assist Investigative Analysis: Views and Perspectives from Domain Experts
Organizer: John Stasko
Panelists: Sarah Cohen, Lawrence Hunter, Joe Parry
Are you planning to come by to the VisWeek conference? Is so, which sessions are you interested in?
Here is an article that I wrote at Vizworld.com. Vizworld.com is a great resource for all things related to graphics and visualization and is one of the websites that I regularly visit to keep updated with the field. This article has been updated with resources that some of the visitors mentioned in the comments section and I thank them for the same.
I have been thinking about making a list of some of the most seminal information visualization papers. These are papers that have made an impact and can be widely seen in the media (print/web) or are being adopted in visualization software/systems such as VTK, Prefuse, Many Eyes and so on. I may have missed out on a few papers, so please feel free to add any that you think are ‘must-reads’ for an infovis researcher.
Disclaimer: The list in no particular order of preference.
Here’s the list:
- Cluster and Calendar based Visualization of Time Series Data, Jarke J. van Wijk and Edward R. van Selow, Proc InfoVis 99, p 4-9.
- Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases, Chris Stolte, Diane Tang and Pat Hanrahan, IEEE Transactions on Visualization and Computer Graphics, Vol. 8, No. 1, January 2002.
- The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Ben Shneiderman, Proc. 1996 IEEE Visual Languages. An interesting sentence from the paper – “Information exploration is inherently a process with many steps, so keeping the history of actions and allowing users to retrace their steps is important. However, most prototypes fail to deal with this requirement.” I feel that with the amazing ‘provenance’ based work that Claudio Silva’s group at the University of Utah are doing on Vistrails, some of this is being finally addressed.
- How Not to Lie with Visualization, Bernice E. Rogowitz and Lloyd A. Treinish, Computers In Physics 10(3) May/June 1996, pp 268-273.
- Excentric Labeling: Dynamic Neighborhood Labeling for Data Visualization. Jean-Daniel Fekete and Catherine Plaisant. Proc. CHI’99, pages 512-519. There is a new paper this year at EuroVis 2009 that extends the techniques proposed in this paper – Extended Excentric Labeling by Enrico Bertini, Maurizio Rigamonti and Denis Lalanne.
- VisDB: Database Exploration using Multidimensional Visualization, Daniel A. Keim and Hans-Peter Kriegel, IEEE CG&A, 1994
- Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry. Alfred Inselberg and Bernard Dimsdale, IEEE Visualization ‘90, 1990.
- Smooth and Efficient Zooming and Panning. Jack J. van Wijk and Wim A.A. Nuij, Proc. InfoVis 2003, p. 15-22
- Snap-Together Visualization: Can Users Construct and Operate Coordinated Views? Chris North, B. Shneiderman. Intl. Journal of Human-Computer Studies, Academic Press, 53(5), pg. 715-739, (November 2000)
- Hotmap: Looking at Geographic Attention Danyel Fisher, IEEE TVCG 13(6):1184-1191 (Proc. InfoVis 2007).
- Tree visualization with treemaps: a 2-d space-filling approach, Ben Shneiderman, ACM Transactions on Graphics, vol. 11, 1 (Jan. 1992) 92-99 and B. Johnson and B. Shneiderman, “Tree-maps: A Space Filling Approach to the Visualization of Hierarchical Information Structures“, Proc. of Vis ‘91, Oct. 1991, pp. 284-291.
- Danny Holten (2006), Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data, IEEE Transactions on Visualization and Computer Graphics, vol. 12, no 5, pp. 741-748. – This has already been implemented in VTK and is very useful for visualizing hierachical data.
- Tamara Munzner, Francois Guimbretiere, Serdar Tasiran, Li Zhang, and Yunhong Zhou (2003), TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility, SIGGRAPH 2003 , published as ACM Transactions on Graphics 22(3), pp. 453-462.
- M. Stone, “Choosing Colors for Data Visualization“, 2006.
- Penny Rheingans (1999). Task-based Color Scale Design. Proceedings of Applied Image and Pattern Recognition ‘99, SPIE, pp. 35-43.
- F. Viegas, M. Wattenberg, F. van Ham, J. Kriss, and M. McKeon, “ManyEyes: A Site for Visualization at Internet Scale“, IEEE Trans. on Visualization and Computer Graphics, Vol. 13, No. 6, Nov.-Dec. 2007, pp. 1121-1128.
- J. Heer, S. Card, J. Landay, “prefuse: a toolkit for interactive information visualization“, Proceedings of ACM CHI ‘05, April 2005, pp. 421-430.
- John Lamping , Ramana Rao , Peter Pirolli, A focus+context technique based on hyperbolic geometry for visualizing large hierarchies, Proceedings of the SIGCHI conference on Human factors in computing systems, p.401-408, May 07-11, 1995, Denver, Colorado, United States
- S. Havre, B. Hetzler, and L. Nowell, “ThemeRiver: Visualizing Theme Changes over Time”, Proceedings of the 2000 IEEE Information Visualization Symposium, Salt Lake City, Oct. 2000, pp. 115-123. Image from Theme river inspired work – Stacked Graphs: Geometry & Aesthetics, Lee Byron, Martin Wattenberg, IEEE InfoVis 2008
- M. Wattenberg and J. Kriss, “Designing for Social Data Analysis,” IEEE Transactions on Visualization and Computer Graphics Vol. 12, No. 4, Jul.-Aug. 2006, pp. 549-557.
Other than these papers, these books are a source of invaluable advice about visualizing data.
- Tufte, Edward R. (2001). The Visual Display of Quantitative Information (2nd ed.). Cheshire, CT: Graphics Press. ISBN 0961392142.
- Tufte, Edward R. (1990). Envisioning Information. Cheshire, CT: Graphics Press. ISBN 0961392118.
- Tufte, Edward R. (1997). Visual Explanations: Images and Quantities, Evidence and Narrative. Cheshire, CT: Graphics Press. ISBN 0961392126.
- Few, Stephen (2004). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press. ISBN 978-0970601995.
- Few, Stephen (2006). Information Dashboard Design: The Effective Visual Communication of Data. O’Reilly Media. ISBN 978-0596100162.
- Few, Stephen (2009). Now You See It: Simple Visualization Techniques for Quantitative Analysis. Analytics Press. ISBN 978-0970601988.
- Ware, C. (2004) Information Visualization: Perception for Design. (2nd Edition) Morgan Kaufman. December, 435 pages.
- Ware, C. (2008) Visual Thinking for Design. Morgan Kaufman
- Casey Reas and Ben Fry (2007), Processing: A Programming Handbook for Visual Designers and Artists. MIT Press. 736 pages.
- Ben Fry (2007), Visualizing Data, O’Reilly. 384 pages.
- William S. Cleveland (1985). The Elements of Graphing Data, Hobart Press.
- William S. Cleveland (1993). Visualizing Data, Hobart Press.
What other papers/books would you add to this list?