polygon simplification in real-time with D3
more fun than it sounds.
(via un)
Color textures in south pole haze of Saturn’s moon, Titan (NASA - Orange and Blue Hazes)
(thesherd)
[video]
real-time hillshade of a DEM
and there went my afternoon.
Moon Bowl (Sebastian Errazuriz)
via mocoloco
Meshu - U.S. National Parks
location-based meshes as jewelry
Exploring a new city entices all our five sense, so a tourist map shouldn’t only just highlight what there is to see. Nicola Hume, a product design graduate from the University of Dundee has developed the Listen Here. It’s a concept map that allow users to place a stethoscope-shaped RFID reader over specific points on a map to listen to real-time streamed sounds. (via Interactive Map Lets Tourists Explores The City Via Sounds [Video] - PSFK)
(via hapticblog)
But — and maybe this is what you’re getting at — what spooks me about algorithms as nature is precisely that they have no distortion, they have no affordance, there’s no purchase on the world they describe. Their illegible nature is, quite literally, a world without narrative. There’s only a beginning and an end. What’s important to me about the kinds of things we were doing with Area/Code — and all the designers around us — is that we were building systems in the middle of the data, some systems that gave us a way to read, and reasons to read it. The stories we were telling with locative games were fiction, but as always, good fiction describes the real world rather precisely. — Kevin Slavin (Observatory: Design Observer)
Interactive Dynamics for Visual Analysis -
“The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data. 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.11 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. Meaningful analysis consists of repeated explorations as users develop insights about significant relationships, domain-specific contextual influences, and causal patterns. Confusing widgets, complex dialog boxes, hidden operations, incomprehensible displays, or slow response times can limit the range and depth of topics considered and may curtail thorough deliberation and introduce errors. To be most effective, visual analytics tools must support the fluent and flexible use of visualizations at rates resonant with the pace of human thought.” - Heer, Shneiderman
(via notational)