Author: Ed
Some extremely important data journalism on where to find the worst pubs in London.
A man got stuck in the doors for a significant length of the Northern Line so I attempted to work out the longest possible you could get stuck like that on the entire tube network.
For this piece I used OpenStreetMap data* to generate imagery and maps representing how much land in different cities is set aside as green space compared to how much is used for roads and buildings.
Coverage included: NBC New York, Planetizen, Boston Magazine
* supplemented by other sources where OSM was missing e.g. building footprints
I compiled the data and generated the maps for this piece, visualising US census information about commute times for 20 different cities to show how long different journeys into each city take, and which city’s commuters have it the worst.
Coverage included: NBC San Diego, Curbed, Star Tribune
For this Geotab piece I wrote scripts to combine data from the US National Elevation Dataset and the US Census’s dataset of every American road, in order to identify the highest section of road in every US state. I also wrote the accompanying copy for the piece.
Coverage included: Yahoo, The Denver Channel, Matador Network