View allAll Photos Tagged visualize
I can't see
I can't walk alone
I lack some physical skills
But, I won't knee to blindess
I won't be completely depedent on the others
I won't stay without any work
I have the heart to visualize the feelings
I have the mind to comprehend the life
I have the soul to be a free human
[Abraaj. January 2007]
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Series of Kuwait's portraits (winter 06-2007)
I saw this blind old man at Al-Mubarakiah Market in Kuwait City
Canon EF 70-200mm f/2.8L
editing: RAW processing and Photoshop editing
The last four years of my data from Facebook: gadgetwise.blogs.nytimes.com/2010/10/06/facebook-now-lets...
Visualized with GrandPerspective: grandperspectiv.sourceforge.net/
The National Visualization and Analytics Center (NVAC) is a national and international resource providing strategic leadership and coordination for visual analytics technology and tools. The mission of the Cognitive Foundations for Visual Analytics project is to articulate a theoretical framework to guide research in visual analytics. Cognitive factors are investigated that influence the effectiveness of visualization on analytic problem solving in complex domains.
This image was a part of the 2010 PNNL Science as Art contest.
Terms of Use: Our images are freely and publicly available for use with the credit line, "Courtesy of Pacific Northwest National Laboratory." Please use provided caption information for use in appropriate context.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Part of a 5 house visualization project for ARCHIPOD.
Furniture models in this image are part of the model supplied in the latest 3dallusions - Charette#15 - Quinta House
CGI exterior visualization: good fairy by day and wicked witch by night??? Perhaps it is just Photoshop ;)
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
"In the beginning, there was Cal."
Recommended background music: serious, or silly.
A visualization of commits to the flickr.com codebase. Colors represent different types of file extensions: .txt templates, .gne (PHP) files, JS, images, CSS and so on.
One day is one frame, and the video was created at 60 fps - then sped up somewhat to make the 3-minute video limit.
This video does not include commits to the new node.js codebase, which drives things like photo books and the new photo page. Someone else needs to make a video of that one at some point.
Someone else should re-do this in the future, and make a note to scale up all the font sizes, circle radii and so on. I didn't have time to do a third rendering. ;)
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Patrick van der Pijl: “So what is the business model of Easyjet about?” that’s what I ask in our workshops. Then people say:”It’s cheaper!” meaning that you pay less compared to traditional airlines. “That’s true, but what is the difference compared to traditional airlines?” I ask. -- More on www.businessmodelsinc.com -- llustration : Joeri Lefevre
Try to visualize a beautiful woman. Give it some seconds serious consideration. I shall wait patiently as long...
Now the woman you picture in you head, not only has form and shape, she most likely even have mannerisms and perhaps are wearing clothes. If so we can even with wisdom assume that the clothes she is wearing is consistent with, and thus reflect, the person she is and here is my point. She is to the mental effect almost a person, as your imagination is a VERY powerfull tool. - Mind you not even the Tihane-2 (The Chinese supercomputer) would be able to create in memory what you just did in seconds. (Further more, the Tihane-2 would probably answer that beauty is subjective and continue in long explanations to explain the beauty of binary simplicity, but be quite indifferent as in regard to the beauty of women.)
In your head, from the quest was launched, you started drawing upon your feminine resources of data in your eyes putting together a pretty much ”perfect” women ;o) But make no mistake, in a way she is VERY real, as she is created only and alone from YOUR subconscious imaginative spectrum of what a ”beautiful women” consist of. Those perceptions are not only VERY real, to you it is the whole world and thus, the very definition of beauty.
If you are a crossdresser, transvestite or transexual, you know very well what powers are to be drawn from within that imaginative spectrum, but make no mistake. When ordinary macho heterosexual men watch Expendables 1 (Macho hetero classic - 5 stars from my male side, Lisa says ”No comment!” shaking her head) they very much identify them self, with being amongst such group of battle scarred veterans, knowing each others weaknesses and strengths, using them in unison, like a team, working like clockwork and on backbone alone beating odds no sane person would bet a single dime on.
Women as well have their own visual identification spectrum and I stand accused making following statement without statistic documentation, but I have notion practically all women at some time, have imagined them self walking into a crowded room drawing all attention, dazzling everyone with the mere presence of their radiant beauty. But again, I might be mistaken and women not only may, but trust me will rightfully claim ”What the hell do I REALLY know about women.” and it is in fact quite true.
Never the less there is still much to be obtained from within, the almost magical imaginative spectrum.
You see, something happens to macho heterosexual men, watching not ONLY Expendables 1, but every film made in modern times that has to do with war, fighting, death, violence and murder (several times). Slowly, we find, such identification change such individuals. The same thing happens to T-girls who spend much time in the imaginative female spectrum, they change slowly, becoming more like that in reality as well, changing slowly.
Thus watching many movies on war identifying with being a vengeful warmachine, might actually in a stressfull situation, combined with a life crisis, trigger the hidden imaginative being nurtured by such imagination, making that person pick up a riffle going into warmode showing the world a thing or two. Where as a T-girl in same stressfull life crisis, very well might say ”Fuck it all.” pick up a pair of stilettos and wearing a tight skirt ”showing” (though in a more practical sense) the world a thing or two as well.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Ascent Penthouse
Client: Mr Dung - IAM Architecture
---
@ Long Nguyen & Thu Nguyen
Architecture - Interior Design & 3D Visualization
0979 962 864, Ho Chi Minh City
advlongnguyen@gmail.com
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Visualization is the key to many things, including photography. In this case, visualizing a great performance, from the gun to the end of the track and over all the hurdles in between, 100M away.
I am building a small visualization tool to look at the similarities and differences between two articles published in October about head injuries and the NFL:
"Game Brain" by Jeanne Marie Laskas - Oct. 10, 2009
www.gq.com/sports/profiles/200909/nfl-players-brain-demen...
"Offensive Play" by Malcolm Gladwell - Oct. 19, 2009
www.newyorker.com/reporting/2009/10/19/091019fa_fact_glad...
These are some early outputs from the system.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Today we had a meeting to talk about our vision for our research lab. In order to do so we were to visualize the current situation and / or our wish for the future. I did a combination of both. The vision part is in A possible future. My corresponding blog post where I talk a little bit about this visualization is Visions with Lego.
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Try to visualize a beautiful woman. Give it some seconds serious consideration. I shall wait patiently as long...
Now the woman you picture in you head, not only has form and shape, she most likely even have mannerisms and perhaps are wearing clothes. If so we can even with wisdom assume that the clothes she is wearing is consistent with, and thus reflect, the person she is and here is my point. She is to the mental effect almost a person, as your imagination is a VERY powerfull tool. - Mind you not even the Tihane-2 (The Chinese supercomputer) would be able to create in memory what you just did in seconds. (Further more, the Tihane-2 would probably answer that beauty is subjective and continue in long explanations to explain the beauty of binary simplicity, but be quite indifferent as in regard to the beauty of women.)
In your head, from the quest was launched, you started drawing upon your feminine resources of data in your eyes putting together a pretty much ”perfect” women ;o) But make no mistake, in a way she is VERY real, as she is created only and alone from YOUR subconscious imaginative spectrum of what a ”beautiful women” consist of. Those perceptions are not only VERY real, to you it is the whole world and thus, the very definition of beauty.
If you are a crossdresser, transvestite or transexual, you know very well what powers are to be drawn from within that imaginative spectrum, but make no mistake. When ordinary macho heterosexual men watch Expendables 1 (Macho hetero classic - 5 stars from my male side, Lisa says ”No comment!” shaking her head) they very much identify them self, with being amongst such group of battle scarred veterans, knowing each others weaknesses and strengths, using them in unison, like a team, working like clockwork and on backbone alone beating odds no sane person would bet a single dime on.
Women as well have their own visual identification spectrum and I stand accused making following statement without statistic documentation, but I have notion practically all women at some time, have imagined them self walking into a crowded room drawing all attention, dazzling everyone with the mere presence of their radiant beauty. But again, I might be mistaken and women not only may, but trust me will rightfully claim ”What the hell do I REALLY know about women.” and it is in fact quite true.
Never the less there is still much to be obtained from within, the almost magical imaginative spectrum.
You see, something happens to macho heterosexual men, watching not ONLY Expendables 1, but every film made in modern times that has to do with war, fighting, death, violence and murder (several times). Slowly, we find, such identification change such individuals. The same thing happens to T-girls who spend much time in the imaginative female spectrum, they change slowly, becoming more like that in reality as well, changing slowly.
Thus watching many movies on war identifying with being a vengeful warmachine, might actually in a stressfull situation, combined with a life crisis, trigger the hidden imaginative being nurtured by such imagination, making that person pick up a riffle going into warmode showing the world a thing or two. Where as a T-girl in same stressfull life crisis, very well might say ”Fuck it all.” pick up a pair of stilettos and wearing a tight skirt ”showing” (though in a more practical sense) the world a thing or two as well.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA