A web-enabled visualization toolkit for geovisual analytics

Information Visualization

Volumn 11, Issue 1, 2012, Pages 22-42

  Ho, Quan Van ^a   Lundblad, Patrik ^a   Aström, Tobias ^a   Jern, Mikael ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

Geovisual analytics; Layered component architecture; Multiplelinked views; Storytelling; Web enabled visualization toolkit

Indexed keywords

COMPONENT ARCHITECTURES; GEOVISUAL ANALYTICS; MULTIPLELINKED VIEWS; STORYTELLING; WEB-ENABLED VISUALIZATION TOOLKIT;

DYNAMICS; FUNCTIONAL PROGRAMMING; INFORMATION SYSTEMS; METADATA; OPTIMIZATION; VISUALIZATION;

DATA VISUALIZATION;

EID: 84858263175     PISSN: 14738716     EISSN: 14738724     Source Type: Journal    
DOI: 10.1177/1473871611425870     Document Type: Conference Paper

References (39)

1. Andrienko G and Andrienko N. Visual exploration of spatial distribution of temporal behaviors. Proceedings of the 9th International Conference on Information Visualisation (IV05); 2005 Jul 6-8; London, England. Washington DC: IEEE Computer Society; pp. 799-806. (Pubitemid 44458599)
2. Muller W and Schumann H. Visualization methods for timedependent data - an overview. Proceedings of the 2003 Winter Simulation Conference; 2003 Dec 7-10; New Orleans, Louisiana, USA. New York: Association for Computing Machinery; pp. 737-745.
3. Guo D, Chen J, MacEachren AM and Liao K. A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Trans Vis Comput Graph 2006; 12(6): 1461-1474. (Pubitemid 44523090)
4. Jern M, Åström T and Johansson S. Geoanalytics tools applied to large geospatial data sets. Proceedings of the 12th International Conference Information Visualisation (IV08); 2008 Jul 9-11; London, England. Washington DC: IEEE Computer Society; pp. 362-372.
5. Gapminder, http://www.gapminder.org/
6. OECD eXplorer, http://www.oecd.org/gov/regional/statisticsindi cators/explorer.
7. Andrienko N and Andrienko G. Interactive visual tools to explore spatio-temporal variation. Proceedings of the Working Conference on Advanced Visual Interfaces (AVI 2004); 2004 May 25-28; Lecce, Italy. New York: Association for Computing Machinery; pp. 417-420.
8. Dykes J, MacEachren AM and Kraak MJ. Exploring Geovisualization. Oxford: Pergamon Press, 2005, pp. 159-180.
9. Fekete J and Plaisant C. The InfoVis toolkit. Proceedings of the 10th IEEE Symposium in Information Viualization (InfoVis'04); 2004 Oct 10-12; Austin, Texas, USA. Washington DC: IEEE Computer Society; pp. 167-174.
10. Voss H, Andrienko N and Andrienko G. Commongis - common access to geographically referenced data. ERCIM News 2000; 41: 44-46.
11. GeoVista Studio, http://www.geovistastudio.psu.edu.
12. Tominski C, Abello J and Schumann H. CGV - An interactive graph visualization system. Comput Graph 2009; 33(6): 660-678.
13. Bostock M and Heer J. Protovis: A graphical toolkit for visualization. IEEE Trans Vis Comput Graph 2009; 15(6): 1121-1128.
14. Protovis, http://vis.stanford.edu/protovis/
15. Flare, http://flare.prefuse.org/
16. Tableau, http://www.tableausoftware.com/
17. Stolte C, Tang D and Hanrahan P. Polaris: A system for query, analysis, and visualization of multidimensional relational databases. IEEE Trans Vis Comput Graph 2002; 8(1): 52-65. (Pubitemid 34573482)
18. Shrinivasan YB and Wijk JJ. Supporting the analytical reasoning process in information visualization. Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems; 2008 Apr 5-10; Florence, Italy. New York: Association for Computing Machinery; pp. 1237-1246.
19. MacEachren AM, Brewer I and Steiner E. Geovisualization to mediate collaborative work: Tools to support different-place knowledge construction and decision-making. Proceedings of the 20th International Cartographic Conference; 2001 Aug 6-10; Beijing, China. Beijing: Chinese Society of Geodesy Photogrammetry and Cartography; pp. 6-10.
20. Jern M. Smart documents for web-enabled collaboration. In: Vince JA and Earnshaw RA (eds) Digital Content Creation. New York: Springer-Verlag, 2001, pp. 140-162.
21. Carr DB, White D and MacEachren AM. Conditioned choropleth maps and hypothesis generation. Annals of the Association of American Geographers 2005; 95(1): 32-53. (Pubitemid 41638566)
22. Robinson A. Re-visualization: Interactive visualization of the progress of visual analysis. Proceedings of GIScience Workshop Visual Analytics & Spatial Decision Support; 2006 Sep 20; Muenster, Germany; pp. 1-21.
23. Keel P. Collaborative visual analytics: Inferring from the spatial organisation and collaborative use of information. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST); 2006 Oct 31 - Nov 2; Baltimore, Maryland, USA. Washington DC: IEEE Computer Society; pp. 137-144. (Pubitemid 351245905)
24. Viégas FB, Wattenberg M, Ham FV, Kriss J and McKeon M. Many eyes: A site for visualization at Internet scale. IEEE Trans Vis Comput Graph 2007; 13(6): 1121-1128. (Pubitemid 350076580)
25. Jern M, Rogstadius J, Åström T and Ynnerman A. Visual analytics presentation tools applied in HTML documents. Proceedings of the 12th International Conference Information Visualisation (IV08); 2008 Jul 9-11; London, England. Washington DC: IEEE Computer Society; pp. 200-207.
26. Thomas J and Cook K. Illuminating the Path: The Research and Development Agenda for Visual Analytics. Chicago, IL: IEEE Computer Society Press, 2005, p. 13.
27. GAV Flash functional component guide, http://ncomva.se/flash/projects/ Guide/
28. GAV Flash parallel coordinates plot component, http://ncomva. se/flash/projects/Guide/?chapter=Visualizations§ion= Parallel%20Axes%20Chart.
29. GAV Flash choropleth map component, http://ncomva.se/flash/projects/ Guide/?chapter=Visualizations§ion=Choropleth%20Map.
30. Card SK, Mackinlay JD and Shneiderman B. Readings in Information Visualization: Using Vision to Think. San Francisco, CA: Morgan Kaufman Publishers, 1999.
31. Data set of 9020 Sweden zip codes, http://vitagate.itn.liu.se/GAV/ gridmap/swedenzip/SwedenZipCodeData.xls.
32. Piringer H, Tominski C, Muigg P and Berger W. A multi-threading architecture to support interactive visual exploration. IEEE Trans Vis Comput Graph 2009; 15(6): 1113-1120.
33. Shneiderman B. The eyes have it: A task by data type taxonomy for information visualization. Proceedings of the 1996 IEEE Symposium on Visual Languages; 1996 Sep 3-6; Boulder, Colorado, USA. Washington DC: IEEE Computer Society 336-343.
34. Wohlfart M and Hauser MH. Story telling for presentation in volume visualization. Proceedings of EuroVis 2007; 2007 May 23-25; Norrkoping, Sweden. Washington DC: IEEE Computer Society; pp. 91-98.
35. Demonstration videos of GAV Flash applications, http://vitaga te.itn.liu.se/GAV/videos/VDA.
36. Examples of vislet in blogs, http://swedeneurostat.blogspot.com/and http://swedeneurostatblogspot.com/2010/03/education-ineu- example-with-vislets. html.
37. Ho Q, Åström T and Jern M. Geovisual analytics for selforganizing network data. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST); 2009 Oct 11-16; Atlantic, New Jersey, USA. Washington DC: IEEE Computer Society; pp. 43-50.
38. Amirijoo M, Frenger P, Gunnarsson F, Kallin H, Moe J and Zetterberg K. Neighbor cell relation list and physical cell identity self-organization in LTE. Proceedings of the 2008 IEEE International Conference on Communications Workshops; 2008 May 19-23; Beijing, China. Washington DC: IEEE Computer Society; pp. 37-41.
39. Dahlman E, Parkvall S, Sköld J and Beming P. 3G Evolution: HSPA and LTE for Mobile Broadband. Oxford: Academic Press, 2007.