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a worldwide weekend-long dive into data visualization...

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)

First sketch of the uberinfographic. Using the basic classification and using many of the actual visualizations.

from an MRI made @ Inselspital, 28.11.07. visualization made with Osirix

  

Karen on the Clune Crank (V1) at the Gunks, NY

 

Camera :: Canon Powershot S90

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

Some shots from my Mac visualizer.

a worldwide weekend-long dive into data visualization...

Hiroe Miyake, Associate Professor, University of Tokyo, Japan capture during the Session "Big Data Visualization: A New Era in Mapping with the University of Tokyo" at the World Economic Forum - Annual Meeting of the New Champions 2019 in Dalian, People's Republic of China, July 3, 2019. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Visweek09 demographics and registration data

 

Link to the high rez pdf file:

dl.getdropbox.com/u/73030/insidevisweek09.pdf

a worldwide weekend-long dive into data visualization...

a worldwide weekend-long dive into data visualization...

An interesting effect that happened accidently

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. 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.

Horizontal axis: distance. Ticks at 40 meters. Vertical axis: time. Ticks at 1 minute. I'm not sure which trip this is - I rummaged around the database until I found a route that clumped like this. It happens in about 1 out of 10 recorded trips. You can see at several points along the trip there are what appear to be traffic signals that change at the same time every day, on about a 1 minute period.

visualization of bike-car intersection accident data from 2005 to 2009, aggregated from police reports by a graduate student.

screenshot of the iTunes visualizer

Saturday's night party was a bit boring. I guess it's just another FAIL :-P

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

WolfVision VZ-8 Visualizer: presentation system used in universities and businesses worldwide. www.wolfvision.com

Network visualisations of Ars Electronica, done by the Ludwig Boltzmann Institute for Media.Art.Research.

@ Long Nguyen & Thu Nguyen

Architecture - Interior Design & 3D Visualization

0979 962 864, Ho Chi Minh City

advlongnguyen@gmail.com

Sprinklr's Command Center solution powered data visualizations and real-time content curation for Samsung during SXSW Interactive 2014 at the Samsung Blogger Lounge.

 

All photos by Kris Krug.

 

www.sprinklr.com

Mike Moradi, Founder and Chief Executive Officer, Sensulin, USA; Young Global Leader 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

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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architectural visualization, architectural animation

a worldwide weekend-long dive into data visualization...

a worldwide weekend-long dive into data visualization...

a worldwide weekend-long dive into data visualization...

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.

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

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