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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
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
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.
Visualization of ragas based on 1000+ features derived from:
- vadi and samvadi
- which notes are included
- bigram and tetragrams in the raga
- distinction of all the above features wrt aaroha vs avaroha
- distinction of all the above features wrt extended notes
- distinction of all the above features wrt second-octave notes
Raw data is available as json and csv:
github.com/kylemcdonald/ragaDB/blob/master/ragasdb/ragas....
github.com/kylemcdonald/ragaDB/blob/master/ragasdb/ragas.csv
And a script is available for generating the derived features: github.com/kylemcdonald/ragaDB/blob/master/ragasdb/make-t...
Layout and coloring was found using t-sne, with scripts in this repository github.com/kylemcdonald/EmbeddingScripts
There are more variations on the visualization above with different parameters (and varying accuracy in representing the space) here: github.com/kylemcdonald/ragaDB/tree/master/tsne
Pokémon Go Pokéstops in San Francisco. Interactive version of the map: sandbox.morozgrafix.com/pokestopheat/
This map visualizes the ccTLDs of the African continent. The country code top level domains of Africa are organized by geoposition, while the top countries are scaled to reflect the number of millions of internet users in those countries.
View on Flickr. View High Res. Also available as a high-quality large format poster and tshirt. Purchase these items here.
Top Countries (by millions of users): (1) Egypt (2) Nigeria (3) Morocco (4) South Africa (5) Sudan (6) Algeria (7) Kenya (8) Tunisia (9) Uganda (10) Zimbabwe
The first ccTLDs regsitered in Africa were .EG (Egypt) and .ZA (South Africa), both assigned in 1990. The last came with the 1998 registration of .KM (Comoros). There are total of 56 ccTLDs registered in Africa. In 1997 .ZR (Zaire) was retired and .CD went into use, a reflection of the country’s new name, Democratic Republic of Congo.
Works Cited: Data used to make this map was taken from internetworldstats.com and are accurate through December 31,2009 using research originally published by Miniwatts Marketing Group. “Introduction to ccTLDs
and Status of African ccTLDs” by Eric Akumiah, AfTLD Adminstrative Manager. Graphic inspired by “Country Codes of the World” by Byte Level Research.
Typos Corrected in Print
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
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.
Tweets from various locations across the globe on #jan25 on Janurary 25th, 2011. Lines point towards Tahrir Square, Cairo. Opacity indicates volume.
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
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
A young special guest star performing his talent for the crowd.
Records of a Juneteenth celebration in OKC back in 2017.
For those that don't know, Juneteenth is a holiday celebrating the emancipation of those who had been enslaved in the United States. It commemorates the event of the word finally getting to Texas that all enslaved peoples were free that occurred on June 19, 1865 (two and a half years after Lincoln had sign the Emancipation Proclamation freeing all slaves).
I have so many connections on LinkedIn it became almost unusable and started becoming a repository of business contacts. This visualization, though mesmerizing to me at first and to others as well, is interesting though the groups are spread around time, location, profession and education.
The top and left is more related to my design expertise, the lower right is more my personal life.
Also the edges are filled with people I barely know. Then again in the center it is often the same.
Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality.
Things like Time, Location, Activeness as well as Global and Local interaction, are all considered in scoring. Time (green) and Location (dark grey) are optional, for scenarios like a conflict or war. The content producer’s location, or proximity to ‘ground zero’ tells the system to factor this in to its score. Also the length of time that content is produced after the initial event may also tell us a lot. Things like ‘time’ and ‘location’ are optional because if your Swift instance is tracking something like a political scandal, time and proximity may not actually add any value to authority calculations.
Purple represents how active Users 1 and 2 are. In and of itself how much someone uses a Swift instance is irrelevants. It could mean that they are an eager member providing valuable assistance, or it could mean they are attempting a brute force attack on the system similar to the Figure 1 scenario. However, when coupled with other factors, frequency of interaction is considered and can positively or negatively weight the score for a user.
Illustrative Visualization of a german climate change adaption research network – using processing and a metaball force field fpr moving agents
Edited NOAA visualization of clouds and ocean temperatures on the Earth, with clouds being exaggerated vertically a bit.
Original caption: Satellite data and images such as those presented in this image of Earth give scientists a more comprehensive view of the Earth's interrelated systems and climate. Four different satellites contributed to the making of this image. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) provided the land image layer and is a true color composite of land vegetation for cloud-free conditions from September 18 to October 3, 1997. Each red dot over South America and Africa represents a fire detected by the Advanced Very High Resolution Radiometer. The oceanic aerosol layer is based on National Oceanic and Atmospheric Administration (NOAA) data and is caused by biomass burning and windblown dust over Africa. The cloud layer is a composite of infrared images from four geostationary weather satellites, NOAA's GOES 8 and 9, the European Space Agency's METEOSAT, and Japan's GMS 5.
The Ars Electronica Futurelab made a high-profile guest appearance in Los Angeles. As part of the Walt Disney Concert Hall’s IN/SIGHT series, Esa Pekka Salonen conducted the L.A. Philharmonic Orchestra in a performance of Ravel’s “Mother Goose” that featured impressive visualizations designed by the Linz-based media art lab.
Credit: Ars Electronica Futurelab
This is a visualization of a blog community. It's one of the end results of our project. In the visualization, thicker lines suggest a stronger connection between the two blogs. If you want to know more, or play with it, hop over to www.blogslikethis.com/
Hydrogen accounts for about 74 percent of the normal matter in the Universe. This visualization shows the electron clouds of hydrogen through the probability density function when the principal quantum number, N, is 1 and 2. The probability density illustrates where the electron is most likely to be found if measured, red indicates high probability, blue indicates low probability.
Update: 2020/06/22: A 16k version is now available.
Update: 2020/07/06: A visualization showing all electron orbitals for N=1 to 6 is also available on Youtube: youtu.be/HyRHT4yOvms
This visualization shows the wave functions of hydrogen when the principal quantum number, N, is between 1 and 2. The wave function is the solution of the Schrödinger equation and describes the electron in its wave form. Yellow and red colors show positive, while blue and purple denote negative values. Its complex square is the probability density, which actually shows where the electron might be found in the atom when measured.
That visualization can be found here: www.flickr.com/photos/188522613@N05/49924325132/in/datepo...
Update: 2020/06/22: A 16k version is now available.
Created by Martin Wattenberg with Marek Walczak (who licenses it under this CC license), Thinking Machine 4 explores the invisible, elusive nature of thought. Play chess against a transparent intelligence, its evolving thought process visible on the board before you.
The artwork is an artificial intelligence program, ready to play chess with the viewer. If the viewer confronts the program, the computer's thought process is sketched on screen as it plays. A map is created from the traces of literally thousands of possible futures as the program tries to decide its best move. Those traces become a key to the invisible lines of force in the game as well as a window into the spirit of a thinking machine.