Understanding flows where artistic energy goes

Seismo Guys (and gals):

Big data has been big media this year- through our drones, mobile devices and other gadgets we are producing an epic amount of data. What are we to do with all of this information? How are we to use it to improve our understanding?

For the seismologist, data overload is nothing new. We have always swam in a sea of seismic data. Today, the IRIS servers are chucky-jammed full of waveforms from every corner of the globe. With impressive advances in the personal and commercial computing in recent years, the information that can be gleamed from big data sets like those at IRIS is now only limited by our creativity. Clever data visualization tools can breathe life into big data sets, bringing new understanding.

Here is an inspiration for the seismic community to set about to re-thinking how it views its continuous seismic data in real-time and how it can better communicate that information to the public:

The traditional view of weather data:

Introducing wind map, an inspired view of wind data:

wind data art- we will never have to look at the data in the same way. Click on the image see the wind map project for yourself

wind data art- we will never have to look at the data in the same way. Click on the image see the wind map project for yourself.

“The wind map is a personal art project, not associated with any company.” At the confluence of the artistic and scientific mind, new light is shed on old problems and the data comes to life!

Understanding flows where artistic energy goes. With a little creativity our continuous data sets can also come alive. The seismo guys at Princeton have already made important steps in that direction with ShakeMovie.

“Please do not use the map or its data to fly a plane, sail a boat, or fight wildfires :-)” But do use it to be inspired and think of your data set in dynamic new ways.

See also: Hurricane Sandy But don’t let Sandy keep you from seeing how the wind follows the Grand Canyon. Spectacular!


One thought on “Understanding flows where artistic energy goes

  1. Talking about big data: Here are the IRIS DMC Data Statistics: http://www.iris.edu/data/distribution/

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