Data and information visualization: Difference between revisions

Revision as of 20:24, 22 July 2008

Revision as of 20:36, 22 July 2008

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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 referes 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 subjectsscope ==

TheThere are different approaches on the scope of data visualization. On the one hand there is a focuss on information presentation. For example Michael Friendly (2008) presumes two main parts of data visualization: [[statistical graphics]], and [[Thematic map|thematic cartography]].<ref name = "MF08"/> In this line the "Data Visualization: Modern Approaches" (2007) article gives an overview of seven subjects of data visualisation:<ref>[http://www.smashingmagazine.com/2007/08/02/data-visualization-modern-approaches/ "Data Visualization: Modern Approaches"]. in: ''Graphics'', August 2nd, 2007 </ref>

According to Michael Friendly (2008) two main parts of data visualization are:<ref name = "MF08"/>

* [[statistical graphics]], and

* [[Thematic map|thematic cartography]].

The "Data Visualization: Modern Approaches" (2007) article gives an overview of seven subjects of data visualisation:<ref>[http://www.smashingmagazine.com/2007/08/02/data-visualization-modern-approaches/ "Data Visualization: Modern Approaches"]. in: ''Graphics'', August 2nd, 2007 </ref>

* [[Mindmap]]s

* Displaying [[News]]

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* [[Articles]] & [[Resources]]

* Tools and Services

TheseAll these subjects are all close related to [[graphic design]] and information reprentation.

<!-- This is hardly a reliable source and this list should maybe be moved to Information graphics -->

On the other hand from a [[computer science]] Frits H. Post (2002) givesafter ana quietseminar otheron overviewvisualization has categorize the field into a number of datasub-fields, visualizationwhich subjectsare quite transient in a highly dynamic area. He listedcame up with the following chapters: <ref name= "FHP02"/>

* Visualization Algorithms and Techniques

* Volume Visualization

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* Modelling Techniques and

* Interaction Techniques and Architectures

The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. <ref name= "FHP02"/>

== Related fields ==