Information Is Beautiful | Ideas, issues, concepts, subjects - visualized!
by oqdbpo & 1 other(s)Ideas, issues, knowledge, data – visualized!
Ideas, issues, knowledge, data – visualized!
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]]>CORINE Land Cover, c'est une base de données géographique qui recense l'occupation des sols sur toute l'Europe. La résolution est de 20 mètres et la dernière version de ces données date de 2006.Les données Corine Land Cover peuvent être affichées dans l’outil Google Earth.
MoodJam is a visualization of your moods and other people's moods. Use MoodJam to: * Keep a record of your moods every hour, day, and weeks—as often as you want, for as long as you want. * Visualize your moods in beautiful color strips. * Learn about trends in your moods and colors you associate with specific moods. * Share your moods with friends, family, co-workers, and other people who matter to you. MoodJam is a free service provided by the MoodJam Research Group in the Human Computer Interaction Institute at Carnegie Mellon University. We sometimes study how our members use MoodJam to learn how to improve personal and social awareness of moods. We promise to never give your personal information to anyone. See our privacy policy for more information.
Generate a visual representation of a website DOM. An coloured, animated tree-node graph unfolds showing the structure of a site, based on what HTML tags it uses. Quite a beautiful visualisation. See author's blog entry on the applet at: http://www.aharef.info/2006/05/websites_as_graphs.htm Annotated link http://www.diigo.com/bookmark/http%3A%2F%2Fwww.aharef.info%2Fstatic%2Fhtmlgraph%2F
Pourquoi les catalogues de nos bibliothèques ne fonctionnent-ils pas comme ça ? http://amaztype.tha.jp/ Tapez n'importe quoi dans la fenêtre de recherche puis entrée, moi j'ai tapé schiele par exemple mais on peut tout aussi bien taper slip, attendez un peu pendant que les images s'assemblent ne soyez pas impatients, ça vaut le coup. Bien à vous,
Over the past few months I’ve been talking with many people passionate about Information Visualization who share a sense of saturation over a growing number of frivolous projects. The criticism is slightly different from person to person, but it usually goes along these lines: “It’s just visualization for the sake of visualization”, “It’s just eye-candy”, “They all look the same”.
I like to compare this practice to a game designer who lays out an intended context, rules and narrative for the game, but then has this moment of delight when users engender their own narrative, their own path. This is intrinsic to the conception of Information Visualization as a discovery tool.
]]>Maybe...A page to represent yourself with webpages? Youtego is a new visual tool for self-visualization in the Internet. If you had to construct sentence with visual pictures how would you do?
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One of the 8 works I created for the Data Art Show at the Pink Hobo Gallery in Minneapolis.
All these pieces are a pun on the new craze for data visualization. The goals of data visualization as I understand them are to make complicated issues more understandable, to make obscured connections visible and to reveal hidden patterns in the data. After all these tasks have been solved ideally the result should be aesthetically pleasing as well.
But when I look around what is being done in data visualization today I have the suspicion that in many cases the design is more important than the actual information and that the use of data is more an excuse to justify the use of aesthetics.
Since I do not have a problem with aesthetics for their own sake in these pieces I deliberately took the opposite direction. Since I wanted to create something visually interesting I made up my own data which would give me the desired results. All these works are the result of generative algorithms, so all the elements and their connections are actually data and not something I assembled manually in Illustrator.
The visualization grows a "tree" for each TimesPeople activity, adding users as they perform that the same action. The tree "decays" as the corresponding activity declines in frequency.
Parallel Sets (ParSets) is a visualization application for categorical data, like census and survey data, inventory, and many other kinds of data that can be summed up in a cross-tabulation. ParSets provide a simple, interactive way to explore and analyze such data.