LyricMap: Born in the U.S.A.

Number 3 in an occasional series of LyricMaps is loosely based on Bruce Springsteen's Born in the U.S.A.

A hot spot analysis (using Getis-Ord Gi*) in GIS defines statistically significant neighbouring areas that are above or below the global average. Stronger red hot spots define neighbouring areas that have either more or less people born in the U.S.A., compared to the national average. More red (a hot spot) equates to more people born in the U.S.A. and more blue (a cold spot) equates to more people not born in the U.S.A based on data from the 2010 census. Areas shaded in neither blue or red have no statistically significant populations born in the U.S.A. or not so they are similar to the national average.

The counties in New Jersey, Bruce Springsteen’s home state, are all cold spots with more people not born in the U.S.A. unlike Bruce.

Data analysis by Madeleine Parker and Linda Beale. Map by Kenneth Field 

LyricMap: Where the Streets Have No Name

Inspired by the nonsense mapping of The Proclaimers 500 miles that I re-mapped, I was pondering a few other geographical lyrics and how they might be mapped. I'm going to call them LyricMaps ™ and there's a lot of them. First up -let's give U2's Where the Streets Have No Name a whirl and see what we come up with.

First, start with a nice healthy dataset of all streets in the contiguous USA and use some Geographical Information Systems savvy to process it. I'm fortunate to have access to the 2012 version of the Tom Tom data for North America which contains over 15 million street segments.

Second, apply a few of query analyses to extract any street segment without a name, discounting outliers like connectors, ramps, slip roads and such like. The result: a LyricMap of 3.5 million streets with no name, the beauty of which is that I don't need to worry about labelling because, well...there aren't any!

Finally, map each road segment with a huge dose of transparency so at the final scale the map shows areas that contain relatively few streets with no name as dark as the background. Where there are numerous streets with no name, the overlapping transparent symbols create a much lighter effect.

The map deserved to be styled as an homage to U2's classic 1987 The Joshua Tree which contains the track.

The overall pattern suggests that it's streets in rural areas that have no name. Pretty much all the major cities appear dark indicating a low number of streets with no name. This makes sense...the dataset contains every road in the U.S. and many of them would be dirt tracks. Despite there being over 3 million separate segments on this map there isn't much sense looking at the detail for a particular city...there are so few it makes the map sparse as the following larger scale map of California illustrates.

That said, if you want a giant 36 inch version at 300dpi then you can download one here. It's 12Mb.

Of course, there's more work that could be done to eliminate more categories of roads but hey - this is just a bit of fun. I've got plenty more geographically inspired LyricMaps planned so stay tuned!

Acknowledgments: Tom Tom data used and published under licence using Esri technology.