Population density and voting behaviour

This [1] article investigates the correlation between population density and voting behaviour for the 2016 presidential election in the US. Not very surprisingly, Clinton won in many denser (urban) voting districts, while Trump won in many more sparsely populated (rural) districts. More interestingly, the article shows these correlations in several beautifully rendered visualizations full of details.

[1] https://placesjournal.org/article/environment-as-politics/

Two examples how to look at travel time

One example uses a lot of under-the-hood data crunching to deliver rapid information on accessibility based on travel times, selling this information via API to businesses [1,2].

The other one is a bit more static and less entrepreneurial: How far can you get away from downtown by car on a Friday afternoon, i.e. where could you spend your weekend? [3]

[1] http://geoawesomeness.com/this-startup-is-changing-the-way-travel-time-s...
[2] http://www.traveltimeplatform.com/
[3] https://www.washingtonpost.com/graphics/2017/national/escape-time/

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