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Innovation By Design

The Sleeper Future Of Data Visualization? Photography

In a new book, data-viz guru Nicholas Felton highlights a wave of photographers mixing deep data into their art.

  • <p>Photography by Fong Qi Wei, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Bobby Neel Adam, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Agustin Muñoz, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Dennis Hlynsky, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Kevin L. Ferguson, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Alejandro Almaraz, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Peter Funch, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Pelle Cass, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Paula Zuccotti from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Alejandro Durán, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Richard Silver, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Babak Fakhamzadeh, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Roger Vail, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Gjon Mili, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • <p>Photography by Jenny Odell, from <em>PhotoViz</em>, Copyright Gestalten 2016</p>
  • 01 /15

    Photography by Fong Qi Wei, from PhotoViz, Copyright Gestalten 2016

  • 02 /15

    Photography by Bobby Neel Adam, from PhotoViz, Copyright Gestalten 2016

  • 03 /15

    Photography by Agustin Muñoz, from PhotoViz, Copyright Gestalten 2016

  • 04 /15

    Photography by Dennis Hlynsky, from PhotoViz, Copyright Gestalten 2016

  • 05 /15

    Photography by Kevin L. Ferguson, from PhotoViz, Copyright Gestalten 2016

  • 06 /15

    Photography by Alejandro Almaraz, from PhotoViz, Copyright Gestalten 2016

  • 07 /15

    Photography by Peter Funch, from PhotoViz, Copyright Gestalten 2016

  • 08 /15

    Photography by Pelle Cass, from PhotoViz, Copyright Gestalten 2016

  • 09 /15

    Photography by Paula Zuccotti from PhotoViz, Copyright Gestalten 2016

  • 10 /15

    Photography by Alejandro Durán, from PhotoViz, Copyright Gestalten 2016

  • 11 /15

    Photography by Richard Silver, from PhotoViz, Copyright Gestalten 2016

  • 12 /15

    Photography by Babak Fakhamzadeh, from PhotoViz, Copyright Gestalten 2016

  • 13 /15

    Photography by Roger Vail, from PhotoViz, Copyright Gestalten 2016

  • 14 /15

    Photography by Gjon Mili, from PhotoViz, Copyright Gestalten 2016

  • 15 /15

    Photography by Jenny Odell, from PhotoViz, Copyright Gestalten 2016

Every data visualization you’ve ever seen is a lie. At least in part. Any graph or chart represents layers and layers of abstraction. Your Jawbone Up’s report on how you slept is just points of data pulled from a spreadsheet that’s filled with numbers gathered from a sensor that thinks your stillness means you're unconscious. The most objective data presentation—your snoring, maybe?—is at least once or twice removed from the data itself.

Which is why data-viz guru Nicholas Felton—creator of the Feltron report, the Reporter app, and Facebook’s Timeline—is suddenly so interested in photography. And what started as a collection of seemingly random photos he saved in a desktop folder has become a a curated photography book called PhotoViz, available for order now.

"Photo viz for me, in its briefest terms, is visualization done with photography or based on photography," Felton says. And that means it’s visualization created without layers of abstraction, because every data point in an image is really just a photon hitting your camera sensor.

Photography by Alejandro Almaraz, from PhotoViz, Copyright Gestalten 2016

PhotoViz represents Felton’s overview of a field that goes as far back as photography itself, but is particularly ripe for exploration today, as we're equipped with a whole new suite of post-production tools that are redefining photography as we've known it. As he points out, photographic pioneer Eadweard Muybridge was shooting galloping horses in the late 1800s as a way to quantify anatomy in motion for the first time. High-speed photography techniques allowed us to get better and better at capturing motion, leading to Harold Edgerton’s milk drops in the 1930s, which visualized the split-second moments of nature that otherwise went unseen.

Into the modern era, new techniques—like stacking frames through Photoshop—have pushed the bounds of photo visualization further. Photo designer Peter Funch uses Photoshop to show dozens of New Yorkers yawning on the street at the same time. Many moments condensed into one, with all the irrelevant subjects cut out, has a poignant, life-affirming effect.

Photography by Peter Funch, from PhotoViz, Copyright Gestalten 2016

We saw similar techniques play out in the last Olympics when high-speed cameras married with exposure stacking techniques helped create single-frame, step-by-step sequences of snowboarding and skiing runs, letting the viewer track every nuance of an athlete's movement.

Why are these photo visualizations so powerful, compared with their graphically rendered counterparts? "They can be really descriptive," Felton says. "When they are a sum of photographs, it gives you what we love about photography, the precision of the expression on someone's face ... all the background things we take in...maybe [there’s] an emotional connection in it."

Photography by Agustin Muñoz, from PhotoViz, Copyright Gestalten 2016

And that’s really the greatest appeal of photo visualization as a discipline. Whereas the best data designers have to work very hard to make you recognize the significance of a bar chart, photography is human at its core. It speaks in objects and faces, the language of life itself.

Which is why Felton believes the potential is only just being tapped now. As algorithmic technologies, like Facebook’s face-recognizing autotag feature, or Google’s Auto Awesome system, which can combine several failed family photos into one magical image where everyone is smiling, the possibilities for condensing and rearranging the data of photography is only growing.

"The Instagram model, where I need to find that precise moment to tell everything that I wanted to share is amazing, but there’s also an opportunity for the aggregate stories—how do you condense 200 photos from my Camera Roll into something that’s digestible?" he says. "I think we’re at the tip of the iceberg in how we find patterns and manage this glut."