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First Hacks/Hackers Meetup held at Atherton Studio at HPR. Great presentations by Ben Trevino, Jared Kuroiwa and Misa Maruyama.
3d-walkthrough-rendering.outsourcing-services-india.com
Yantram Architectural photorealistic renders creates high-quality 3D facades in a virtual studio environment. Our team of architects and industrial designers build 3d models from CAD files, sketches, or photographs
"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
I remember this thing from when I was a kid at the Science Museum. They've still got it, and it's taken on a new interest for me since I saw it last. Fluid dynamics is pretty cool, especially when you can see its details.
This project was an attempt to visualize population density in NYC and the correlation it has to people feeling claustrophobic as a result. As well, it was also a reflection upon my own relationship to the city and the daily patterns that shape it.
I placed a proximity sensor in the front pocket of my jacket and logged the data it recorded for the 4+ hours I wore it. I then pulled that data into Processing to manipulate the image. As the distance between me and anything/anyone in front of me became closer, the image begins to blur.
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).
This is a scatter plot of vehicle schedule deviation plotted against time of day. Time of day is plotted on the horizontal axis with gray tick marks every hour. The slightly bolder gray line is noon. Schedule deviation is plotted on the Y axis, with three ticks, from top to bottom: five minutes late, on time, and five minutes early. There's a dense area right after noon - this doesn't represent any feature of King County Metro's schedules - it's just a region where I got two day's worth of readings. On average vehicles are about a minute late. They're rarely more than two minutes early, but it's not terribly uncommon for a vehicle to be up to twenty minutes late.
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...
Obviously, I love this hobby, so these machines are an important part of how I identify myself.
I have taken the ZX-L all over the US, to Paris, France, and across the entirety of Costa Rica. At that point in my life, it was just a camera. I wish I had had the passion and interest in photography at that time. Can't imagine the kinds of wonderful pictures I could have made! C'est la vie.
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
1. Visual thinking workshop in Toronto, 2. Geneva workshop, 3. Geneva workshop
Created with fd's Flickr Toys.
1. Visual thinking workshop in Toronto, 2. Geneva workshop, 3. Geneva workshop, 4. Geneva workshop, 5. Geneva workshop, 6. Visual thinking workshop in Toronto
Created with fd's Flickr Toys.
Worldwide Visualization for a Breakthrough -
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visualizedaily.com/action1-en.html
Transformation transformacja transformation transformace Transformation transzformáció преобразование transformación trasformazione 2012
www.flickr.com/photos/arjuna/sets/72157628371178639/with/...