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Reseach Article

Data and Information Visualization Methods, and Interactive Mechanisms: A Survey

by Muzammil Khan, Sarwar Shah Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 1
Year of Publication: 2011
Authors: Muzammil Khan, Sarwar Shah Khan
10.5120/4061-5722

Muzammil Khan, Sarwar Shah Khan . Data and Information Visualization Methods, and Interactive Mechanisms: A Survey. International Journal of Computer Applications. 34, 1 ( November 2011), 1-14. DOI=10.5120/4061-5722

@article{ 10.5120/4061-5722,
author = { Muzammil Khan, Sarwar Shah Khan },
title = { Data and Information Visualization Methods, and Interactive Mechanisms: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 1 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number1/4061-5722/ },
doi = { 10.5120/4061-5722 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:17.431395+05:30
%A Muzammil Khan
%A Sarwar Shah Khan
%T Data and Information Visualization Methods, and Interactive Mechanisms: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 1
%P 1-14
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With availability of enough visualization techniques it can be very confusing to know what and when should be appropriate technique to use in order to convey maximum possible understanding. The basic purpose of visual representation is to efficiently interpret what is insight, as easy as possible. Different available visualization techniques are use for different situation which convey different level of understanding. This document is guide for the young researchers who wants to start work in visualization. The purpose of this piece of document is to collect all visualization techniques with their brief introduction. This paper deals with many definitions and aspects of visualization, how visualization take place i.e. different steps of visualization process, problems that are confront in visualization, categorization of visualization techniques on the bases of distinct perspective, typically known common data and information visualization techniques, basic interactive methods for visualization their advantages and disadvantages, interactivity process, and the scope of visualization up to some extent in different field of research.

References
  1. Chris North, “Information Visualization”, Center for Human-Computer Interaction, Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg, VA 24061 USA
  2. Ware, C. (2004). “Information Visualization: Perception for Design”, Morgan Kaufmann.
  3. Spence, R. (2001). “Information Visualization”, Addison-Wesley.
  4. Beatriz Sousa Santos, “Evaluating Visualization techniques and tools: what are the main issues?”.
  5. North, C. (2005). “Toward Measuring Visualization Insight. IEEE Computer Graphics and Applications”, vol. 11, no. 4, pp. 443-456
  6. S. Card, J. MacKinlay, and B. Shneiderman, (1998). “Readings in Information Visualization: Using Vision to Think”. Morgan Kaufmann.
  7. Alfredo R. Teyseyre and Marcelo R. Campo, (2009). “An Overview of 3D Software Visualization”, IEEE Transactions on Visualization and Computer Graphics, vol.15, No.1.
  8. E.R. Tufte, (1997). “Visual Explanations: Images and Quantities, Evidence and Narrative”, Graphics Press, 1997.
  9. D.M. Butler, J.C. Almond, R.D. Bergeron, K.W. Brodlie , and A.B. Haber, (1993). “Visualization Reference Models”, Proc. Fourth IEEE Conf. Visualization, G.M. Nielson and D. Bergeron, eds., pp. 337-342.
  10. WebSter Dictionary: www.webster-dictionary.org/definition/visualization
  11. L. Chittaro, (2006). “Visualizing Information on Mobile Devices”, ACM Computer, v.39 n.3, p.40-45.
  12. Plaisant C, (2004). “The Challenge of Information Visualization Evaluation”, Proceedings of AVI 2004: 6th International Conference on Advanced Visual Interfaces, ACM Press, New York, 2004, pp. 109-116
  13. Chittaro L. (2004). “Special Issue on HCI Aspects of Mobile Devices and Services”, Personal and Ubiquitous Computing Journal, Vol. 8, No.2.
  14. A Periodic Table of Visualization Methods. http://www.visual-literacy.org/periodic_table/periodic_table.html
  15. Chaomei Chen, (2005). “Top 10 Unsolved Information Visualization Problems”, IEEE Computer Graphics and Applications, 2005.
  16. D. Harel and Y. Koren, (2000). “A Fast Multiscale Method for Drawing Large Graphs”, Proc. 8th Int’l Symp. Graph Drawing,2000, pp. 183-196
  17. P.C. Wong et al. (2003). “Dynamic Visualization of Transient Data Streams”, Proc. IEEE Symp. Information Visualization, IEEE CS Press, 2003, pp. 97-104.
  18. WebSter Dictionary: www.webster-dictionary.org/definition/aesthetic
  19. C. Chen, (2004). “Information Visualization: Beyond the Horizon”, 2nd ed., Springer, 2004
  20. C. Johnson, (2004). “Top Scientific Visualization Research Problems”, IEEE Computer Graphics and Applications, vol. 24, no. 4, pp. 13-17, July/Aug. 2004.
  21. Michael Friendly, (2008). "Milestones in the history of thematic cartography, statistical graphics, and data visualization", http://www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf.
  22. Smashing Magazine: www.smashingmagazine.com/2007/08/02/data-visualization-modern-approaches/comment-page-1/#comment-559828
  23. Bederson, B. B., & Shneiderman, B. (2003). “The craft of information visualization: readings and reflections”, San Francisco, CA: Morgan Kaufmann Publishers
  24. J. J. Thomas and K. A. Cook, (2006). “A Visual Analytics Agenda”, IEEE Transactions on Computer Graphics and Applications, 26(1):12–19, January/February 2006
  25. Oliveira, M.C., Levkowitz, H. (2003). “Visual Data Exploration to Visual Data Mining: A Survey”, IEEE Transaction on Visualization and Computer Graphs 9(3), 378–394 (2003)
  26. A Fink, (2008). “How to conduct surveys: A step-by-step guide”, Sage Publications, Inc.
  27. Morgan, George (2004). “SPSS for Introductory Statistics”. Hillsdale: Lawrence Erlbaum
  28. Muzammil Khan, Mushtaq Raza, and Nasir Rashid (2010). “Appropriate Length of Text Line with Special Relationship to Eye Blink to Reduce Maximum Focus Loss”. International Conference on Internet Computing 2010: 97-102
  29. P.E. Hoffman, (1999). “Table Visualizations: A Formal Model and Its Applications”, doctoral dissertation, Computer Science Dept., Univ. of Massachusetts at Lowell, 1999.
  30. Adobe Flex, Advanced Data Visualization Developer Guide
  31. Clark Jeff, (2006). Multi-level Pie Charts. www.neoformix.com/2006/MultiLevelPieChart.html
  32. Stephen Few, (2007). “Save the Pies for Dessert”, Perceptual Edge Visual Business Intelligence Newsletter August 2007.
  33. Spence, I. (2005). “The origins and usage of a statistical chart”, Journal of Educational and Behavioral Statistics, 30, 353-368
  34. Pearson, K. (1895). “Contributions to the Mathematical Theory of Evolution. II. Skew Variation in Homogeneous Material”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 186: 343–326
  35. Howitt, D. and Cramer, D. (2008). “Introduction to Statistics in Psychology”, Prentice Hall.
  36. Burton G. Andreas (1965). “Experimental psychology”‎. page.186
  37. Neil J. Salkind (2006). “Statistics for People who (think they) Hate Statistics: The Excel Edition”. Page 106.
  38. Online Microsoft Excel Help: http://office.microsoft.com/en-us/excel-help/creating-a-bubble-chart-HA001117076.aspx
  39. Jeff Berman (2007). “Maximizing project value: defining, managing, and measuring for optimal return”, AMACOM Div American Mgmt Assn, 2007. Page .63-64.
  40. Utts, Jessica M. (2005). “Seeing Through Statistics”, 3rd Edition, Thomson Brooks/Cole, 2005, pp 166-167
  41. What is Scatter plot? www.psychwiki.com/wiki/What_is_a_scatterplot%3F
  42. Zach Gemignani, (2010). “Better Know a Visualization: Parallel Coordinates”, www.juiceanalytics.com/writing/parallel-coordinates/
  43. Stephen Few, (2006). “Multivariate Analysis Using Parallel Coordinates”, September 12, 2006.
  44. Alfred Inselberg, (2009). “Parallel Coordinates: Visual Multidimensional Geometry and Its Applications”, Springer, 2009.
  45. Shneiderman, Ben; Plaisant, Catherine (2009). "Treemaps for space-constrained visualization of hierarchies".
  46. IBM Research and the IBM Cognos software group, www-958.ibm.com/software/data/cognos/manyeyes/page/Treemap.html
  47. Paul Beynon-Davies (2004). “Database Systems”. Houndmills, Basingstoke, UK: Palgrave
  48. Jeffrey A.Hoffer, Mary B. Prescott, and Fred R. McFadden. Modern Database Management, 7th Edition.
  49. Andy Cockburn and Bruce McKenzie, (2000). “An evaluation of cone trees”. In People and Computers XIV: British Computer Society Conference on Human Computer Interaction, pages 425–436. Springer Verlag, 2000
  50. Usability First: www.usabilityfirst.com/glossary/cone-tree/
  51. Search CIO Mid market: http://searchcio-midmarket.techtarget.com/definition/timeline, http://searchcio-midmarket.techtarget.com/definition/Venn-diagram
  52. Student Guide to Timeline: www.lkwdpl.org/study/timeline/
  53. Robert Kosara, Helwig Hauser, and Donna L. Gresh, (2003). “An Interaction View on Information Visualization”. Published in 2003.
  54. Flow Breeze: Flowcharting and Process Diagramming Tools, www.breezetree.com/articles/what-is-a-flow-chart.htm
  55. Roger S. Pressman. Software Engineering, A Practitioner’s Approach. Sixth Edition, Page 348, 227, 309.
  56. Bruza, P. D., Van der Weide, Th. P. (1993), "The Semantics of Data Flow Diagrams", University of Nijmegen, 1993.
  57. F. Ruskey and M. Weston (2005). “Venn Diagram Survey”, The electronic journal of combinatorics, June 2005.
  58. Amaryllis Deliyanni, Robert A. Kowalski. (1977). Logic and Semantic Networks. Proceedings of the Workshop On Logic And Data Bases, Toulouse, November 1977.
  59. Generating of Marketing insight, Semantic networks: www.duke.edu/~mccann/mwb/15semnet.htm
  60. Becker, R. A., Eick, S. G., and Wilks, A. R. (1995). “Visualizing network data”, IEEE Transactions on Visualization and Graphics, 1(1):16-28.
  61. Stoakley, R., Conway, M. J., and Pausch, R. (1995). “Virtual reality on a WIM: Interactive worlds in miniature”, Proceedings of the Conference on Human Factors in Computing Systems 1995, pp. 265--272
  62. Bederson, B.B., Hollan, J., Perlin, K., Meyer, J., Bacon, D., and Furnas, G. (1996). Pad++: “A Zoomable Graphical Sketchpad for Exploring Alternate Interface Physics”. Journal of Visual Languages and Computing, 7(1):3-32
  63. Leung, Y. K., and Apperley, M. D. (1994). “A review and taxonomy of distortion-oriented presentation techniques”. ACM Transactions on Computer-Human Interaction, 1(2):126—160
  64. Robbins D.C., Cutrell E., Sarin R., Horvitz E (2004). “ZoneZoom: Map Navigation for Smart phones with Recursive View Segmentation”, Proceedings of AVI 2004: 6th International Conference on Advanced Visual Interfaces, ACM Press, New York, 2004, pp. 231-234
  65. Gerald J. Kowalski and Mark A. Maybury. Information Storage and Retrieval System, Theory and Implementation. Second Edition.
  66. O. Kulyk, R. Kosara, J. Urquiza, and I. Wassink, (2007). “Human-Centered Aspects,” Human-Centered Visualization Environments, Gi-Dagstuhl Research Seminar, A. Kerren, A. Ebert, and J. Meyer, eds., chapter 2, pp. 10-75, 2007”.
Index Terms

Computer Science
Information Sciences

Keywords

Visualization Categorization Visualization Challenges Data Visualization Information Visualization Visualization Interactivity