Information Visualization
By A. Kerren, John T. Stasko, Jean-Daniel Fekete. ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2008
683 citations recorded by the source corpus.
As we deal with more and more information in the digital era, it becomes increasingly difficult to cognitively process the whole matter in order to make sense out of it. Technological advances – particularly those related to computer speeds, graphics (display) resolution, and storage – have made it possible to evolve computer-based techniques to graphically represent huge amounts of information in a concise and understandable way. The intent of this paper is to present an overview some of past research in the field of information visualization, with emphasis on certain popular techniques, and compare various techniques. I will also try to identify the promising techniques that need further research.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2f2e38d029c4219bb96eb78f308402ca2af7a3b8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ludo Waltman
- Nees Jan van Eck
- Cristóbal Romero
- Sebastián Ventura
- John T. Stasko
- George G. Robertson
- Michael Gleicher
- Charles D. Hansen
Citations in the corpus
- Data mining in course management systems: Moodle case study and tutorial (2008, background): “Information visualization (Spence, 2001) is a branch of computer graphics and user interface which is concerned with the presentation of interactive or animated digital images so that users can understand data.”
- Information Visualization (2017, neutral): “L i b r a r y T e c h n o l o g y R e p o r t s a l a t e c h s o u r c e . o r g A p r i l 2017 Information Visualization Hsuanwei Michelle Chen rather than as an investment.”
- Big data, bigger dilemmas: A critical review (2015, background): “Data visualization traces its roots back to William Playfair (1759–1823; Spence, 2001; Tufte, 1983), whose ideas “functioned as transparent tools that helped to make visible and understand otherwise hidden processes” (Hohl, 2011, p.”
- Effectiveness of Animation in Trend Visualization (2008, background): “Ware’s [20] observation that the brain has a strong tendency to group moving objects in a hierarchical fashion also supports this hypothesis.”
- Visual comparison for information visualization (2011, methodology): “Our model grew out of the Dagstuhl Workshop “Information Visualization” [81].”
- VOSviewer: A Computer Program for Bibliometric Mapping (2009, methodology): “For various examples of graph-based maps, we refer to Chen (2004).”
- Scaffolding Complex Learning: The Mechanisms of Structuring and Problematizing Student Work (2004, background): “Visualization tools that provide conceptually meaningful representations are designed to help users form deep models of an underlying system (Hollan, Bederson, & Helfman, 1997).”