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Feltron

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Mapping Neighborhoods in Boston, San Francisco and New York. Hand-drawn animation of 43 years of the Sun’s weather. (via kottke) William Stone Branching Drawings (identified by wowgreat) Geometric choropleths 1895 vs 1978

Datavisualization.ch Selected Tools arbor.js » halfviz In the editor to the right you can describe your graph symbolically. As you type, the visualization will update to reflect the nodes and connections you have defined. graphs Your code is read line-by-line and matched for patterns of the form: name1 -> name2 The names can be single or multiple words and can include digits, punctuation, or space characters. lone nodes If you want to create a node without connecting it to any of the others, simply list it on a line by itself: name3 comments The semicolon acts as a comment character; anything to the right of it on a line will be ignored. a simple example ; ; ostracism in achewood, ca ; roast beef -> ray ray -> téodor téodor -> roast beef pat ; pat is all alone By default all nodes are displayed as grey boxes with the node name as the text label. colors The node’s color can be set to any value that is a valid CSS color. Setting the color to the special value none will draw the node’s label in black on a white background: labels shapes line weights

About What this is Zoom.it is a free service for viewing and sharing high-resolution imagery. You give us the link to any image on the web, and we give you a beautiful new way to experience it — along with a nice short URL. How it works Zoom.it converts your image to the Deep Zoom format, which lets you smoothly and efficiently explore the whole image, no matter how large. Zoom.it runs on Windows Azure and enhances the experience with Microsoft Silverlight when available. Why we made it We think every image on the web should be a beautiful, high-resolution one.

Wikipedia Redefined Designing Interactions Interviews with Terry Winograd, Larry Page and Sergey Brin of Google, Steve Rogers, and Mark Podlaseck Professor Terry Winograd teaches computer science at Stanford. He was advisor to Larry Page when Larry and Sergey Brin were developing their first prototypes, before they founded Google. He gives an overview of the development of the Internet, and explains the reasons behind the extraordinary success that Google has enjoyed. Steve Rogers is head of production at BBC New Media. Mark Podlaseck, who researches the navigation of large databases at IBM, describes the rationale behind his beautiful design for the glassengine, a Web site that allows you to browse the music of Philip Glass.

Vintage InfoPorn No.1 My conceit, when I started making infographics, was simple. I believed this was a *new way* of expressing and visualizing information, a thoroughly modern and zeitgeisty fusion of data and design. Oh you muppet David… These infographics were created by students of American African-American activist W.E.Dubois in 1902. They’re so modern looking! Then there’s ISOTYPE – the International System Of TYpographic Picture Education. There’s a gorgeous small-format book on Isotype by Neurath’s wife Marie and Robin Kinross that’s worth a look. The vibe of ISOTYPE, and its tight visual language, depended heavily on the pictographic work of German artist Gerd Arntz. Nice! Gerd Arntz: Graphic Designer (look inside) is gorgeous book, recently published by 010 Publishers, celebrating his work (Amazon UK | US). So infography has risen and fallen in history.

La visualisation analytique, pour comprendre des données complexes Depuis une dizaine d’années, nous sommes entrés dans une nouvelle période : celle de la profusion de données. La visualisation analytique est une méthode qui utilise les capacités visuelles humaines pour accélérer l’exploration de ces quantités importantes de données. Pourquoi a-t-on besoin d’utiliser les capacités visuelles ? Lors de notre scolarité, nous avons tous utilisés nos capacités symboliques pour calculer et lire, pourquoi ces capacités ne sont-elles pas suffisantes ? Projet européen VisMaster. Le but de la visualisation analytique ? Auteurs scientifiques : Fanny Chevalier, Jean-Daniel Fekete – Réalisation : Christian Blonz Visionner la vidéo – Durée : 07 min 39 s – Voir les différentes versions. 1. Nous disposons aujourd’hui de quantités de données considérables, en conséquence de trois phénomènes : Ces nouvelles opportunités changent les perspectives scientifiques et industrielles. Une représentation efficace Une explication cognitive Choisir les bonnes variables visuelles 2. 3.

The unofficial homepage of Tim Dwyer I have a new position: Senior Lecturer and Larkins Fellow at Monash University, Australia. Dissertations Tim Dwyer (2005): "Two and a Half Dimensional Visualisation of Relational Networks", PhD Thesis, The University of Sydney. (23MB pdf) Tim Dwyer (2001): "Three Dimensional UML using Force Directed Layout", Honours Thesis, The University of Melbourne (TR download) Technical Reports T. T.

Software Genomic rearrangements can cause disease and are implicated in many cancers. Being able to see the patterns in these changes across samples and patients is important. In the review article End-joining, Translocations and Cancer, Bunting and Nussenzweig demonstrate how compositing the genome circularly adds value and clarity to the presentation. Răzvan Musăloiu-E. explored the Linux file system and used Circos to relate the systems (disk-based, optical mediums, flash-based, network-based, cluster-based, memory-based, ancient) to kernel symbols. Jonathan Feinberg (IBM) created this perfectly circular wordle for me, using content from the Circos site. Visualizing large networks is hard. Circular data tracks naturally support display of information at various resolutions. My first Circos infographic to be published in the New York Times introduces the idea of sequence similarity curves linking circularly composed ideograms. First, understand the requirements. Having trouble?

Datavisualization A Handsome Atlas: Wildly Awesome Data Visualizations from the Nineteenth Century

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