View allAll Photos Tagged Visualization
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.
Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality.
Click for full view. Go here for bigger image: samismyth.deviantart.com/#/d4mswda
Made for an Information is Beautiful Challenge, they provided the raw data, sources they used are listed below smoke stack. Concept and execution is mine. I also researched the uses and decided to visualize carbon emissions (black smog).
Key is on the left. Height dimension is years remaining until we are out of *known reserves currently economic to extract*, without recycling (many elements not recycled at present), assuming production growth continues to rise at current rate (lets hope not.)
Top width based on total known reserves, using log scaling. Bottom width based on amount used last year (also log scaled).
Three main uses for each element shown in factory line boxes. Smoke outline is the usual carbon emissions graph flipped onto a vertical axis (so that date is the vertical axis.) Dates only apply to the carbon emissions (note the drop after the Great Depression circa 1929.)
Request permission from me before any reproduction.
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.
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
1. Visual thinking workshop in Toronto, 2. Geneva workshop, 3. Geneva workshop
Created with fd's Flickr Toys.
Photo of a Man on Sunset Drive: 1914, 2008
by: Richard Blanco
And so it began: the earth torn, split open
by a dirt road cutting through palmettos
and wild tamarind trees defending the land
against the sun. Beside the road, a shack
leaning into the wind, on the wooden porch,
crates of avocados and limes, white chickens
pecking at the floor boards, and a man
under the shadow of his straw hat, staring
into the camera in 1914. He doesn't know
within a lifetime the unclaimed land behind
him will be cleared of scrub and sawgrass,
the soil will be turned, made to give back
what the farmers wish, their lonely houses
will stand acres apart from one another,
jailed behind the boughs of their orchards.
He'll never buy sugar at the general store,
mail love letters at the post office, or take
a train at the depot of the town that will rise
out of hundred-million years of coral rock
on promises of paradise. He'll never ride
a Model-T puttering down the dirt road
that will be paved over, stretch farther and
farther west into the horizon, reaching for
the setting sun after which it will be named.
He can't even begin to imagine the shadows
of buildings rising taller than the palm trees,
the street lights glowing like counterfeit stars
dotting the sky above the road, the thousands
who will take the road everyday, who'll also
call this place home less than a hundred years
after the photograph of him hanging today
in City Hall as testament. He'll never meet
me, the engineer hired to transform the road
again, bring back tree shadows and birdsongs,
build another promise of another paradise
meant to last another forever. He'll never see
me, the poet standing before him, trying
to read his mind across time, wondering if
he was thinking what I'm today, both of us
looking down the road that will stretch on
for years after I too disappear into a photo.