Taxonomy for interactive visual analysis Interactive visualization continues to grow more useful and prominent in every day analysis. Jeffrey Heer and Ben Shneiderman offer a taxonomy for the budding field. Visualization provides a powerful means of making sense of data. By mapping data attributes to visual properties such as position, size, shape, and color, visualization designers leverage perceptual skills to help users discern and interpret patterns within data. A single image, however, typically provides answers to, at best, a handful of questions. Instead, visual analysis typically progresses in an iterative process of view creation, exploration, and refinement. [ACM Queue via @krees] supermanoeuvre SUPERMANOEUVRE is an architectural practice that sees computation as a means of opportunistically collaborating with the heterogeneity and flux of social, cultural and ecological substrates. Employing both genetic and phenotypical strategies of formation in which multiple intelligences and behaviours compete for the gift of instantiation, supermanoeuvre seeks to move beyond the diagram as the dominant of architectural understanding. The resulting complex and adaptive morphologies achieve their definition performatively as the emergent outcome of highly specific architectural concerns embedded within generating rulesets. The practice was co-founded in 2006 by Dave Pigram [New York] and Iain Maxwell [London] as a collaborative studio through which contemporary architectures may be engaged. This blog is intended as a active repository of knowledge pertaining to contemporary architectural resources, techniques and theory. More information on supermanoeuvre can be found on our website:
Interdisciplinary new-territories French + English Version ‘From Radicalism to Idiotcracy, From Y.F. to P.S.’ At cross-purposes As multipurpose as a Swiss army knife, shunted back and forth every which way between art and architecture, he is at once an alibi, a foil, a spiritual father, a defeated ideologue whose scars are an atonement (the deafness, whether real or feigned – we’ll come back to it later) and rather handy… a paper architect, an ideologue, the kind of brand that keeps on giving, still legitimized by the French establishment, that funny alter cocker Yona Friedman® with the slight Slavic accent that makes you smile, whose foibles everyone forgives, since they’re so charming and “inoffensive.” Yona Friedman® is perfectly adaptable… inflatable balloons to mimic the Spatial City,[1] floating cartons filed with salon-utopian political phraseology, pathetic and pathological. Has Friedman become, through no fault of his own, an icon for fakers, architects who reek of cheap – and lazy – political aesthetics?
Designing Data Visualizations Workshop: Strata 2012 - O'Reilly Conferences, February 28 - March 01, 2012 Attendees: All attendees should bring paper an pen for quick sketching. Attendees should bring their own data to work with. Alternately, they can download interesting data sets from sites such as infochimps.com, buzzdata.com, and data.gov. People with access to a windows machine might want to install Tableau Public. We will discuss how to figure out what story to tell, select the right data, and pick appropriate layout and encodings. We’ll briefly discuss tools, including pencil and paper. Understanding of your specific data or data types will help immensely.
Arquitectura y Programación fashion TRANSIT-CITY / URBAN & MOBILE THINK TANK Why Is Data Visualization So Hot? Noah Iliinsky is the co-author of Designing Data Visualizations and technical editor of, and a contributor to, Beautiful Visualization, published By O’Reilly Media. He will lead a Designing Data Visualizations Workshop at O’Reilly’s Strata conference on Tuesday, Feb. 28. Data visualization is hot. All of a sudden there are dozens of companies and products that want to help you visually analyze your data, build your own visualizations, and visually display interesting data sets of all kinds. To answer these questions, we need to go all the way back to biology. That last factor, pattern matching, is the key when it comes to discussing the benefits of presenting information visually. Let’s look at the classic instructive example, Anscombe’s Quartet, devised by statistician Francis Anscombe to demonstrate this very issue. All of a sudden, the data sets look very different from each other, and you can’t help but see and understand much more about the underlying numbers; that’s the magic.
Espacios Digitales › Facit Homes AALU LANDSCAPE URBANISM Fast Thinking and Slow Thinking Visualisation Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. The explicit message of this map is that surprisingly large distances are covered across the network and that the Central Line rolling stock travels furthest. or the seemingly impenetrable (from a distance at least), but wonderfully intricate hand drawn work of Steven Walter (click image for interactive version). I have seen bad examples of both slow thinking and fast thinking maps but there is undoubtedly more rubbish in the latter category. So do the renowned folks at the NY Times Graphics Dept. prefer fast or slow thinking visualisations?