New York based programmer Brian Foo has a fascinating project called Data Driven DJ in which he creates songs and other music experiments derived from data, algorithms and borrowed sounds. Recently, he created a song that uses the 7th Ave Express (a.k.a "2 train") as the metronome, and the neighborhood stops as the intensity of the music based on median income levels at each particular stop.

The goal of this song is to emulate a ride on the New York City Subway's 2 Train through three boroughs: Brooklyn, Manhattan, and The Bronx. At any given time, the quantity and dynamics of the song's instruments correspond to the median household income of that area. For example, as you pass through a wealthier area such as the Financial District, the instruments you hear in the song will increase in quantity, volume, and force.

For more info on the composition of the song, visit DataDrivenDJ.com.

This great vintage photo shows a bunch of well-dressed New Yorkers battling a heat wave in the Summer of 1910 by sitting in the shade under a massive tree in Battery Park.

Urban Explorer, photographer, and Instagrammer flashing.lights has been exploring the City for most of his life, always finding new vantage points to capture amazing photographs of the City from above.

Avid readers of Viewing NYC might recognize some of these photos as we have shared a couple in the past, but the popular Instagrammer uploaded a great collection of his favorite aerial shots and we had to share them with you.

For years I have looked up at the beautiful buildings of the city and I had a strong desire to see the views the buildings held. Over the past year I embarked on a mission to take pictures from some of the rarest, priciest, and stunning views of New York City. These photos were a result of countless hours of networking with building managers, tenants, residents, and anyone else who could help me see the unseen. All shots were taken legally.

Check out @flashing.lights for daily photos of incredible New York City aerial views and street life.