Data and information visualization: Difference between revisions

Revision as of 12:37, 6 October 2008

Revision as of 23:32, 22 October 2008

Line 11:

The phrase "Visualization in Scientific Computing" which turned into [[Scientific Visualization]] was used initially to refer to visualization as a part of a process of scientific computing: the use of computer modelling and simulation in scientific and engineering practice. More recently, visualization is increasingly also concerned with data from other sources, including large and heterogeneous data collections found in [[business]] and [[finance]], [[administration]], [[digital media]], etc. A new research area called [[Information Visualization]] was launched in the early 1990s, to support analysis of abstract and heterogeneous data sets in many application areas. Therefore, the phrase "Data Visualization" is gaining acceptance to include both the scientific and information visualization fields.<ref name= "FHP02"/>

Since then data visualization is an evolving concept whose boundaries are continually expending and, as such, is best defined in terms of loose generalizations. It referesrefers to the more technologically advanced techniques, which allow visual interpretation of data through the [[representation]], [[modelling]] and display of solids, surfaces, properties and [[animation]]s, involving the use of graphics, [[image processing]], computer vision and [[user interfaces]]. It encompasses a much broader range of techniques then specific techniques as solid modelling.<ref>Paul Reilly, S. P. Q. Rahtz (eds.) 1992. ''Archaeology and the Information Age: A Global Perspective''. p.92.</ref>

== Data visualization scope ==

Line 65:

<!-- The first 13 items listed here are Wikipedia articles that mention the term data visualization.-->

;Software programs/ visualization applications/graphics toolkit

*[[Eye-Sys ]]

*[[Ferret Data Visualization and Analysis]]

*[[GGobi]]

Line 79:

;Organizations

*[[Interactive Data Visualization, Inc. ]]

*[[Dundas Data Visualization, Inc.]]

*[[National Oceanographic Data Center]]

Line 88:

== Further reading ==

<!--

Publications listed here should only relate specificlyspecifically to data visualization, and not: Computational visualistics, Information graphics, information visualization, Knowledge visualization, Information visualization and Visual analytics.

There are some links added here to check the content of every publication. Later on these links should be removed or moved to the talk page.

-->

* Chandrajit Bajaj, Bala Krishnamurthy (1999). [http://www.amazon.com/Data-Visualization-Techniques-Trends-Software/dp/0471963569 ''Data Visualization Techniques''].

* William S. Cleveland (1993). [http://www.amazon.com/Visualizing-Data-William-S-Cleveland/dp/0963488406 ''Visualizing Data'']. Hobart Press.

* William S. Cleveland (1994). [http://www.amazon.com/Elements-Graphing-Data-William-Cleveland/dp/0963488414 ''The Elements of Graphing Data'']. Hobart Press.

* [[Michael Friendly]] (2008). [http://www.math.yorku.ca/SCS/Gallery/milestone/ Reader "Milestones in the History of Thematic Cartography, Statistical Graphics and Data Visualization"]

* Alexander N. Gorban, Balázs Kégl and Andrey Zinovyev (2007). [http://www.amazon.com/Principal-Manifolds-Visualization-Computational-Engineering/dp/3540737499 ''Principal Manifolds for Data Visualization and Dimension Reduction''.

* John P. Lee and Georges G. Grinstein (eds.) (1994). [http://portal.acm.org/toc.cfm?id=646122&type=proceeding&coll=GUIDE&dl=GUIDE&CFID=35087769&CFTOKEN=59542343 ''Database Issues for Data Visualization: IEEE Visualization '93 Workshop, San Diego''].

* Peter R. Keller and Mary Keller (1993). [http://www.amazon.com/Visual-Cues-Practical-Data-Visualization/dp/0818631023 ''Visual Cues: Practical Data Visualization''].

* Frits H. Post, Gregory M. Nielson and Georges-Pierre Bonneau (2002). [http://visualisation.tudelft.nl/publications/post2003b.pdf ''Data Visualization: The State of the Art''].