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Architectural visualization of Minimalist House
Architects: Shinichi Ogawa & Associate
Location: Okinawa, Japan
Visualization of Flickr geotagged photos, uploaded between 2007 to 2015 and geotagged with the highest accuracy (street-level). I generated a number of different visualizations. Some are more artistic in style while others are designed more informative.
This type of visualization has been done years before (check out Eric Fischer's maps). Maybe the statistics going on on the lower-right corner provide some additional information not available so far.
Created as part of my research project (maps.alexanderdunkel.com).
Illustrative Visualization of a german climate change adaption research network – using processing and a metaball force field fpr moving agents
A look at mobile traffic trends by website type. Data comes from sites that SwellPath has engagements with. See the blog post that goes with it here: www.swellpath.com/2010/10/mobile-traffic-website-type-inf...
This sculpture by Natalie Sutinen (born in 1972), can be seen in the art room at the Haninge Cultural Centre from today. The artwork has no name. It is made of wax, paper, books and feathers. Sutinen often works with wax dolls, and says that she wants to visualise death with her art.
This is a java applet produced using Processing that visualizes my personal friends network from Facebook. It clearly shows the different groups from schools that have attended over the years. The java applet looks a bit worse and runs slower than the standalone application, but it gives a pretty good idea of the project
TwitterGraph of Twitter user Molly_Ultra
generated by:
bradkellett.com/twitter_stats.html
As the software author describes it, a "totally ugly engine" - but once you start to think about the data that's out there - Twitter or otherwise - you start to think about all the ways this data could be visualized.
Can anybody recommend other engines peeps have written to viz network data?
Note that the graphs are labeled "Tweets per Day" and "Tweets per Hour" -- I think it really means "BY" not "PER" as in "40 of your Tweets came on Mondays" - not, your "average" Monday had 40 Tweets.
iPlant Collaborative members discuss an example shown on the TACC Visualization Wall.
Pictured (left to right): Brandon Theis, Steve Goff
"I delighted in seeing image after image populating the parallel glass planes, extending back as far as the eye could discern... Sometimes I would imagine an irreverent me way down the line who refused to fall into place, disrupting the steady progression and creating a new reality that informed the ones that followed."
the quote is by Brian Greene in the chapter titled The Bounds of Reality (On Parallel Worlds) in his book The Hidden Reality, Parallel Universes and the Deep Laws of the Cosmos
I hooked my camera up to my TV, and used the TV screen as the camera's viewfinder.
This is the result you get when the camera is in effect taking a picture of its own viewfinder
Visualization of Flickr geotagged photos, uploaded between 2007 to 2015 and geotagged with the highest accuracy (street-level). I generated a number of different visualizations. Some are more artistic in style while others are designed more informative.
This type of visualization has been done years before (check out Eric Fischer's maps). Maybe the statistics going on on the lower-right corner provide some additional information not available so far.
Created as part of my research project (maps.alexanderdunkel.com).
iSGTW story | Image created on the Erasmus Computing Grid, by Tobias A. Knoch, Erasmus Medical Center.
A simulated view of the three-dimensional architecture of genetic material as it appears in a human cell nucleus. Colors signify different chromosomes.
bi-weekly publication on politics, finance, social and cultural issues.
For the showcase of the project please visit Behance