Visual perception is the most important perception in human. It is very important to clearly present data in a scientific paper.
Table of Contents
Topics #
- Dashboard
- Data visualization literacy
- Visualization
- Color
- Interactive visualization
- Graph visualization
- Geovisualization
- Gestalt psychology
- Music notation, Music visualization
- Scientific visualization
- Visual perception
- Visualization projects
- Timeline
- Physical visualization
Books #
- The Visual Display of Quantitative Information by Edward R. Tufte
- Fundamentals of Data Visualization by Claus O. Wilke
- Data Visualization: A practical introduction by Kieran Healy
Web sites #
- The Data Visualisation Catalogue
- http://www.visualizing.org/
- http://www.visualcomplexity.com/vc/
- http://www.visualisingdata.com
- http://flowingdata.com/
- The top ten worst graphs
Visualization projects #
Methods #
Overviews #
Specific methods #
Tools #
General #
Javascript/Web #
- Protovis --> d3.js - http://mbostock.github.com/d3/
- dygraphs - http://dygraphs.com/
- SIMILE - timeline visualization http://www.simile-widgets.org/timeline/
- JavaScript InfoVis Toolkit - http://thejit.org/demos/
- cubism.js - time series visualization
- Binify - heatmap
Scientific #
- gnuplot
- R
- http://code.google.com/p/svgfig/ - Quantitative drawing in Python and SVG
3D #
Vector graphics #
Conversation analysis #
History #
-
The Oxford History of Western Art (ed. Martin Kemp) 2000
- Martin Kemp: The Science of Art: Optical Themes in Western Art from Brunelleschi to Seurat, Yale University Press
- Anthony Grafton: Cartographies of Time: A history of the Timeline
- Palmer: Vision Science 1997
- Rudolf Arnheim: Art and visual Perception
- Ernst Gombrich: Art & Illusion
- Josef Albers: The interaction of colors
- Wassily Kandinsky
- Helvetica. The Movie
- Katy Borner
- Otl Aicher
Articles #
-
A Tour through the Visualization Zoo by Jeffrey Heer, Michael Bostock, Vadim Ogievetsky
-
http://well-formed-data.net/archives/669/on-the-role-of-bacon-in-visualization
- BBC: Diagrams that changed the world
- Nightingale’s Rose
- alankang:정보시각화 공부하기
- alankang:엑셀로 웹페이지 긁어와서 시각화하기
- Four Easy Visualization Mistakes to avoid
- How can we get our map colours right? How open journalism helped us get better
- Tradeoffs in information graphics by Andrew Gelman and Antony Unwin
- Visualizing vastness by Steven Strogatz
- Why Most People's Charts & Graphs Look Like Crap
- How to Visualize and Compare Distributions
- Junk Charts Trifecta Checkup: The Definitive Guide
Courses #
- Interactive Art & Computational Design / Spring 2011 by Golan Levin
- Berkeley:CS294-10 Visualization by Maneesh Agrawala
- Stanford:Data visualization by Jeffrey Heer
- University of British Columbia:Information Visualization by Tamara Munzner
-
Visual Analytics by yy
- Information Visualization by Miriah Meyer
-
http://learning.blogs.nytimes.com/2011/04/08/data-visualized-more-on-teaching-with-infographics/
Documentaries #
Talks #
References #
Books #
-
Semiology of Graphics by Jacques Bertin
- Jaques Bertin: Matrix Theory of Graphics. Information Design Journal 2001
-
Readings in Information Visualization: Using Vision to Think by Stuart K. Card (Editor), Jock Mackinlay (Editor), Ben Shneiderman (Editor)
-
Edward R. Tufte - Probably the first two will suffice.
-
Graphical Perception: The Visual Decoding of Quantitative Infromation on Graphical Displays of Data by William S. Cleveland and Robert McGill
-
Visualizing Data: Exploring and Explaining Data with the Processing Environment by Ben Fry - practical. contains many source codes.
-
Information Visualization: Beyond the Horizon by Chaomei Chen
-
Colin Ware - More about perception
-
Beautiful Visualization: Looking at Data through the Eyes of Experts
- Visual Complexity: Mapping Patterns of Information by Manuel Lima
-
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics by Nathan Yau
-
James Elkins: How to use your eyes
- Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers by Felice C. Frankel and Angela H. DePace
Papers #
- Interactive Dynamics for Visual Analysis by Jeffrey Heer and Ben Shneiderman
- Graphical Inference for Infovis by Hadley Wickham et al., connecting visualization with Statistics
Incoming Links #
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