View allAll Photos Tagged visualization

Kiva has quite a few API and SQL interfaces for grabbing data and visualizing it. Actually makes the whole process all the more interactive.

Jeffrey M. Drazen, Editor-in-Chief, New England Journal of Medicine, USA capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Class: Rapid Visualization

Project 1: Faces and Heads (preliminary thumbnail sketches)

 

Note: The numbers were to more easily facilitate people guess who certain faces were supposed to be, as I used books of old Hollywood movie stars and WWII candid photography books for source material. Feel free to make your own guesses via comments!

The interactive exhibit "GestureSpace Visualizer" makes it possible to experience the concept of gesture space applied in gesture research on one's own body.

 

Credit: Marianne Eisl

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.

 

Modeled in 3d max, rendered in vray, and finished in photoshop

Hope you enjoyed our rendering.

© All rights reserved. You may not use this photo in website, blog or any other media without my explicit permission.

----------------------------------------------------------------------------------

architectural visualization, architectural animation

red areas are higher wait times; circle diameter is wait time (logarithmic)... rushing to get this done...

Juliana Chan, Professor of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong SAR capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Kiss, Kick Boxer, Kalashnikov, Kikiriki - images sent to my project www.flickr.com/groups/abc-visualized - 1. el bes, 2. IMG_1584, 3. Suri, 4. Kikirikiii!

This is the call stack from top to bottom when an individual Drupal node is loaded -- focuses only on the views_playlist.module functions that are called. The debug_print_backtrace(); php command was placed at the beginning of each function, and then a node was loaded.

 

I then did a view source, and then did some text replacements to get rid of extra line breaks, and place two line breaks at the beginning on a new stack trace (i.e. with each instance of #0).

 

These are the text replacements I did in Microsoft Word

REPLACE ^p# WITH TEMPTEXTFLAG#

REPLACE ^p WITH ""

REPLACE TEMPTEXTFLAG# WITH ^p#

REPLACE ^p#0 WITH ^p^p#0

REPLACE "called at " with ^t

 

I could then import the data into MicroSoft Excel.

I then

 

A1 = 1 and in A2 =

=IF(E2="",A1+1,A1)

 

B1 = 0 and B2 =

=IF(E2="",-1,B1+1)

 

That gave columns that looked like

1 0

1 1

1 2

1 3

1 3

 

I copied column A & B and then did a paste by value via "Paste Special..." I selected columns A through D, and sorted first by Column A (ascending), and then Column B (descending) This showed the chronological order in which the functions were called.

 

I then copied the cell values from the excel spread sheet into omnigraffle pro where the were treated as a single object. I had to paste multiple sections and group them together so that I could copy it, and then paste it into Preview. Once it was in preview, then I could export it as a PNG and then upload it here.

 

I'm a geek.

screenshot of the iTunes visualizer

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.

 

Here is an animated version of this map

 

Created as part of my research project (maps.alexanderdunkel.com).

 

Here's a blog entry with more info.

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).

 

Here's a blog entry with more info.

visualizing online social networks

jheer.org/vizster/

Kiva has quite a few API and SQL interfaces for grabbing data and visualizing it. Actually makes the whole process all the more interactive.

Edited Dawn image and visualization of Ceres with a visualization showing information on the internal structure as a gravity map.

 

Image source: photojournal.jpl.nasa.gov/catalog/PIA22083

 

Original caption: This animation shows Ceres as seen by NASA's Dawn spacecraft from its high-altitude mapping orbit at 913 miles (1,470 kilometers) above the surface. The colorful map overlaid at right shows variations in Ceres' gravity field measured by Dawn, and gives scientists hints about the dwarf planet's internal structure. Red colors indicate more positive values, corresponding to a stronger gravitational pull than expected, compared to scientists' pre-Dawn model of Ceres' internal structure; blue colors indicate more negative values, corresponding to a weaker gravitational pull.

 

An annotated version of the animation, showing a scale of the difference between predicted and observed gravity, is also available. (This version also has a higher frame rate, for a smoother animation.)

 

The animation was created by projecting a map of Ceres onto a rotating sphere. The image scale is about 450 feet (140 meters) per pixel.

 

Dawn's mission is managed by JPL for NASA's Science Mission Directorate in Washington. Dawn is a project of the directorate's Discovery Program, managed by NASA's Marshall Space Flight Center in Huntsville, Alabama. UCLA is responsible for overall Dawn mission science. Orbital ATK Inc., in Dulles, Virginia, designed and built the spacecraft. The German Aerospace Center, Max Planck Institute for Solar System Research, Italian Space Agency and Italian National Astrophysical Institute are international partners on the mission team.

 

For a complete list of Dawn mission participants, visit dawn.jpl.nasa.gov/mission.

 

For more information about the Dawn mission, visit dawn.jpl.nasa.gov.

 

Image Credit:

NASA/JPL-Caltech/UCLA/MPS/DLR/IDA

 

Image Addition Date:

2017-10-26

Cori Olan's aim is always to go beyond a direct, “mechanical” translation of sound-data into visual-data but to create kind of living, organic entities which have already their own behaviour, which is derived from the general characteristics of a music piece and on top of this listens to the music and reacts in realtime to it.

  

credit: tom mesic

 

Illustrative Visualization of a german climate change adaption research network – using processing and a metaball force field fpr moving agents

Frontop serves 3d architectural renderings, 3d architectural animations, architectural visualization, 3D floor plan, etc. Our 3d renderings have gained wide recognition. We are also the partner of Zaha Hadid Architect.

Kinetic race at Da Vinci Days 2011 in Corvallis, Oregon.

Everybody got the demon in here, okay? The demon lives in here. It feeds on your hate -- it cuts, kills, rapes -- it uses your weak- ness, your fear... A little, uh, madness goin' on. I don't know. Death just -- death kinda becomes what you are. After a while, you begin to like it...

("Natural born killers" - Mickey Knox)

Some shots from my Mac visualizer.

Some shots from my Mac visualizer.

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.

 

Visible from 'space': the Camino de Santiago in Spain!

 

Created as part of my research project (maps.alexanderdunkel.com).

 

Here's a blog entry with more info.

Geocoding and visualizing dad's flight log data. GeoTIff and kml reprojection done with TileMill. More info and how-to here: raph.ae/2014/04/how-to-geocode-and-visualize-flight-paths...

 

Original image by Marc Imhoff of NASA GSFC and Christopher Elvidge of NOAA NGDC, Craig Mayhew and Robert Simmon, NASA GSFC. visibleearth.nasa.gov/view.php?id=55167

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.

 

Some shots from my Mac visualizer.

DNA sequence alignment data shown on the TACC Visualization Wall.

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