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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.
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top half of the pie chart represents imports, the bottom half representing exports.
Here "change mode" is on. The brightness represents growth from 1980.
red areas are higher wait times; circle diameter is wait time (logarithmic)... rushing to get this done...
transitability heatmap of north seattle - red dots have a smaller shed, larger blue, largest violet. Gasworks park and Madrona Park are both terrible. Tangletown is mediocre. Best is, surprisingly, some point in the UW. The map is only applicable to a certain point in time. This map is mind-blowingly computationally expensive, involving the creation and subsequent analysis of a transit shed for every point.
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
The potential for big health data to alter the healthcare landscape is huge. GE and MIT's SENSEable Cities Lab just unveiled an infographic showing the connections between different diseases based on 7.2 million anonymous patient files from the Medical Quality Improvement Consortium, GE's electronic medical records database. The numbers are big, and the images are dazzling.
Read Story: www.gereports.com/the-magic-of-big-data-ge-mit-unveil-new...
Well trying to anyway!! LOL
This is how I imagine……. “Adventuring beyond the land of “sticky-sweet” and on into the realm of “sickly-sweet and mildly disturbing “ would look like !!!.( all a bit “candy mountain “ Charlie)
www.youtube.com/watch?v=Q5im0Ssyyus
(I apologise for this post but I was having a “funny five mins” when it happened and before knew it I’d gone done and uploaded it !!)
Love maxxxi
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.
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).
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).
Kiva has quite a few API and SQL interfaces for grabbing data and visualizing it. Actually makes the whole process all the more interactive.
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)
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).
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
Immersify is a European Research & Development consortium funded by the EU’s Horizon 2020 program, connecting the Ars Electronica Futurelab with four other European partners to research the next generation of immersive media. At the 2019 Ars Electronica Festival, Immersify presents selected works at Deep Space 8K.
Credit: Vanessa Graf
@ Long Nguyen & Thu Nguyen
Architecture - Interior Design & 3D Visualization
0979 962 864, Ho Chi Minh City
advlongnguyen@gmail.com
Another way to discover interesting people is to look at your friend's friend list: www.neuroproductions.be/twitter_friends_network_browser/
Visualization through 3-D animation is a fun and useful tool in designing landscapes. Through this process, design evolves into higher quality installations. When designing in 3-D, much more emphasis is put on the details.
#architecture #visualization #3d #vray #autocad #3dsmax #nigeria #lagos #design #lagosnigeria #style #luxury #beauty #architecturestudents #architecturelovers #render #illustration #autodesk #cg #archdaily #building #architexture #insta_idi #interiordesig #denizli #turkiye #istanbul #netdenizli #izmir
A more complete version of my UN general assembly voting visualization. Each line is a country. Red lines are Africa, Green are Europe, Blue are Asia, Orange are N. America, Yellow are S. America, Purple are Oceania. A yes vote makes the line continue on a tight curve around the centre, a no vote puts them into a spiral farther from the centre, and an abstain or absence makes the line go straight out from the centre. Every absence reduces the alpha of the line by 10, so countries like the Central African Republic, which never show up, quickly vanish.