- 1 Definition
- 2 Types of visualizations
- 3 Visualization in education
- 4 Technology
- 5 Links
- 6 Bibliography
The idea is to use a graphical representation to represent an information space, e.g. a complex concept, a WebSite or parts of the Web as a whole, user activities ....
DSchneider doesn't know if we should split this up like for example the Wikipedia:Visualization article (and add multimedia animations which are not necessarily the same as what they call Wikipedia: Knowledge visualization).
2 Types of visualizations
Lloyd Rieber (2002) categorizes visualizations according to their physical characteristics.
- representational - resemble the object represented ranging from realistic (photographs) to simplified lines and shapes.
- analogical - using a representation of an object with similar qualities to those of the object under study to highlight particular characteristics and phenomena (e.g. billard balls to introduce the concepts of momentum and kinetics of atomic particles).
- arbitrary - graphics that do resemble the concepts in question but reveal information through their spatial characteristics and the relationships between different elements of the graphics (e.g. charts, graphs, concept maps, outlines).
3 Visualization in education
Here is some (quick) brainstorming regarding different areas:
3.1 Organization of information spaces
Navigation of complex information spaces could be facilitated with visual navigation tools.
- An example for wiki visualization is (now disabled) Java Special:WikiViz visualization of this wiki or the light-weight SVG visualization you can see in the left menu. See our special pages. From time to time I test other applications - Daniel K. Schneider. An interesting Wikipedia visualization tool is wikimindmap (now open source, needs php 5.2 with curl).
- Glossary visualizations, like the ones made in the MACE project.
3.2 Concept organization
3.3 Organization of facts and concepts
3.4 Social maps
(To display social webs and show what people do)
3.5 Data visualization
To display complex (subject) data, i.e. students use a real tool to analyze various sorts of data.
E.g. to study the history of Wikipedia pages (which people contribute and how), once could use editing history of Wikipedia pages (Viégas et al., 2004).
3.6 Discussion organization
- To organize & moderate group or class discussion (e.g.     ) writable tables or other devices
Learners, can either use or build visualizations (or both of course). We shall put some emphasis on building of course ...
(to complete some day)
4.1 Software for drawing graphics
- Various concept maps (e.g. mind maps)
- Topic maps
- Various UML tools
- Tree maps and pyramid maps
- Fractal maps
- Dynamic diagrams (e.g. )
- Flow charting programs
- Ngram Viewer (search google books)
- Venn diagrams
- Tree diagrams
- Network trees
- Fishbone maps
- Spider webs
4.2 Representation languages
4.3 Viewers for formal languages
The principle is that such software can render graphs using some kind of formal representation language.
There are others ...
(really not complete, includes both )
- Graphviz (a very popular and free visualization program for which many add-ons exist, e.g. viewers)
- Treemaps for space-constrained visualization of hierarchies. by Ben Shneiderman et al. (various software, some free)
- Tulip, created by David AUBER, is a contribution of the area of information visualization, “InfoViz”. Even if the Tulip framework allows the visualization, the drawing and the edition of small graphs, all the parts of the framework have been built in order to be able to visualize graphs having more than 1.000.000 elements
4.5 Programming languages
- Processing is a popular open source programming language and environment for people who want to program images, animation, and interactions. It is used by students, artists, designers, researchers, and hobbyists for learning, prototyping, and production. It is created to teach fundamentals of computer programming within a visual context and to serve as a software sketchbook and professional production tool.
In addition to special purpose languages like "processing", any programming language with sufficient graphics can do, e.g.
4.6 Libraries for programmers
- D3.js at GiHub
- Flare is an ActionScript 3 library (really good). “Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel.”, retrieved 16:57, 19 March 2009 (UTC)
- Demos Explore the Visualizations
- raphaeljs.com/ includes download and examples
- jQT, a Zepto/jQuery plugin for mobile web development on the iPhone, Android, iPod Touch, and other forward-thinking devices.
- flare is “an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel.”
- Knowledge Maps of Researchers and Methods in the Visualization Field.
- Check the "periodic table at the bottom of the page": Open the link and move your mouse over the cells. A really spectacular summary of different methods !
- There is also an associated paper
- Visual Mapping A short module with pictures of different maps (part of a free visual thinking school on-line course).
- Social graph (Wikipedia). Social graphs display relationships between people.
- Visual Thinking by CFT graduate program coordinator Maria Ebner & assistant director Derek Bruff, Center for Teaching, Vanderbilt University. (2013).
- Keep in touch
- Read Max Kiesler's VizList (also click on other tabs of this excellent web site ...). A lot of tools examples and tools mentionned here were found in this place - Daniel K. Schneider 16:57, 19 March 2009 (UTC)
- Online courses
- some links collected for a course (dead link for now, sorry).
- Links resource - Sciences Knowledge Domain: See Visualization I & II, Diagrams, and VR
- On line examples
- Places & Spaces (Mapping science).
- Atlas of Cyberspaces
- Chris Harrison Visualization Projects (e.g. Wikipedia, Bible)
- Sense.us collaborative visualization system
- chaomei chen's home page. (Editor of Information Visualization)
- CiteSpace (includes a Java webstart/download application)
- VisualEyes web-based authoring tool developed at the University of Virginia to weave images, maps, charts, video and data into highly interactive and compelling dynamic visualizations
(by no means complete)
- Heer Jeffrey; Fernanda B. Viégas, Martin Wattenberg, (2007). Voyagers and Voyeurs: Supporting Asynchronous Collaborative Information Visualization, ACM Human Factors in Computing Systems (CHI), Abstract/PDF/Video.
- Lima, Manuel. (2011). Visual Complexity: Mapping Patterns of Information, Princeton Architectural Press, ISBN 1568989369. (A taster is available from Maria Popova).
- Rieber, L. (2002) Supporting discovery-based learning with simulations. International Workshop on Dynamic Visualizations and Learning. Online-Proceedings, Knowledge Media Research Center (KMRC), Tübingen, Germany. pdf
- Ralph Lengler & Martin J. Eppler, Towards A Periodic Table of Visualization Methods for Management, Institute of Corporate Communication, University of Lugano, Switzerland, PDF
- Viégas, Fernanda B., Martin Wattenberg and Kushal Dave (2004). Studying Cooperation and Conflict between Authors with history flow Visualizations, CHI 2004, Vienna. Studying Cooperation and Conflict between Authors with history flow Visualizations PDF
6.1 Books for programmers
- Scott Murray (2013). Interactive Data Visualization for the Web. An Introduction to Designing with D3. O'Reilly Media, Product page at O'Reilly. This seems to be the best D3.js book ....
- Ben Fry (2007) Visualizing Data Exploring and Explaining Data with the Processing Environment, O Reilly.