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visual data
learning, conceptualizing + communicating data with infographics, visualizations, etc...
Curated by Lauren Moss
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Daily Overview: Captivating Satellite Images of Earth

Daily Overview: Captivating Satellite Images of Earth | visual data | Scoop.it
If you like spending hours on Google Maps looking at the Earth from space, then you’re going to fall in love with a new website called The Daily Overview – an online initiative featuring breathtaking satellite images of our cities and the impact human activity has on our planet.
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50 Maps Showing Where and What Happens in Cities Across the Globe

50 Maps Showing Where and What Happens in Cities Across the Globe | visual data | Scoop.it

“Where people post geotagged photos to Flickr from and geotagged tweets to Twitter from.” via Eric Fischer

Red dots are locations of Flickr pictures. Blue dots are locations of Twitter tweets. White dots are locations that have been posted to both. 

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Patrice Mitrano's curator insight, February 4, 8:51 AM

voir aussi la page Flickr d'Eric Fischer, l'auteur de ces images spectaculaires : http://www.flickr.com/photos/walkingsf/

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The Visual Signature of Your City

The Visual Signature of Your City | visual data | Scoop.it

Social-media platforms like FourSquare and Twitter have been a boon for sociologists and geographers who now have entirely new ways of tracking how we move through cities, where we go, who we are, and even what we think of the world around us. There is one set of social-media platforms, however, that has been tougher to crack for useful data than others: photo-sharing sites.


Their metadata can illustrate where people take photos, and how active they are. But on the whole, how do you aggregate useful data about entire cities and the differences between them from the content of millions of photos on a site like Instagram?

Researchers have been working on this for the past year, and they've just posted some of the initial results from their Phototrails project here.The project is less an exploration of a specific research question, and more a first foray into what we might learn by treating user-generated photography as another source of Big Data.

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Photo Stats App will make your iPhone Photo-Life in to an Infographic!

Photo Stats App will make your iPhone Photo-Life in to an Infographic! | visual data | Scoop.it

If you use your phone to take a lot of photos, and you want to see that data visualized, this app is definitely for you...

It uses top Cities, Image Count, Memory Taken, ISO, Shutter Speed, Flash Time of Day to generate stylish infographics which show how, when and where you take your photos.

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Classic Paintings of London On Top of Google Street Views of the City

Classic Paintings of London On Top of Google Street Views of the City | visual data | Scoop.it

If you walk the streets of London often enough, it’s easy to forget the massive amount of history that surrounds you. But, just looking up can send your head spinning into the past again. From the giant dome of St. Paul’s Cathedral, to the towers of Westminster Abby and the quiet banks of the Thames in Greenwich, almost every view of the old city is filled with stories from the past. Redditor shystone recently when on an internet odyssey using classic paintings from the city’s history and matching them up with modern day views from Google Street View.

Each example here is filled with fascinating details and obvious comparisons in life separated by centuries… even if the buildings remain the same.

More images and information at the link.

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How Facebook's New Machine Brain Will Learn All About You From Your Photos

How Facebook's New Machine Brain Will Learn All About You From Your Photos | visual data | Scoop.it
Facebook poaches an NYU machine learning star to start a new AI lab that may very well end up knowing more about your social life than you do.

Facebook users upload 350 million photos onto the social network every day, far beyond the ability of human beings to comprehensively look at, much less analyze. And so that’s one big reason the company just hired NYU machine learning expert Yann LeCun as director of Facebook’s new AI laboratory, an eminent practitioner of an artificial intelligence (AI) technique known as “deep learning.”

“Yann LeCun's move will be an exciting step both for machine learning and for Facebook, which has a lot of unique social data,” says Andrew Ng, who directs the Stanford Artifical Intelligence Laboratory and who led a deep-learning project to analyze YouTube video for Google. “Machine learning is already used in hundreds of places throughout Facebook, ranging from photo tagging to ranking articles to your newsfeed. Better machine learning will be able to help improve all of these features, as well as help Facebook create new applications that none of us have dreamed of yet.”

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Lewis Walker's curator insight, December 21, 2013 9:38 AM

Mega data collection is not just the government, it is the wave of the future. The question is how will we use it?

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A User-Generated Collection of Google Earth Imagery

A User-Generated Collection of Google Earth Imagery | visual data | Scoop.it

Stratocam, a program developed by former Google and Dreamworks employee Paul Rademacher, allows visitors to take their own aerial snaps with the help of Google Earth and later vote for their favorite photographs from the community of images.
Below are photos of natural wonders such as Mount Vesuvius, the Amazon and Tibet. There are a number of images displaying a more human presence on Earth such as farming plots in Saudi Arabia, the city of Baghdad and the canals of Venice.

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Matthew Rowland's curator insight, April 18, 2013 12:42 AM

Cool idea of contributing to google earth