Each week, Spatial Source finds the best that the internet has to offer.

Vision, although our most dominant sense, has its limits. That cannot be the case with self-driving vehicles, however, which need to see through buildings, around corners and 20 miles in advance to manoeuvre safely. Success for driverless cars, therefore, is contingent upon map learning. To fully realise the vision of autonomous driving, self-driving vehicles will need to depend on self-healing maps. [HERE 360]

Can you locate North Korea on an unlabelled map? If you can then you are more likely to favour a diplomatic and non-military response to North Korea than someone who can’t find it on a map. The New York Times asked 1,746 people to find North Korea on a map. 36 percent got it right. The map above plots real adults’s guesses for North Korea’s location. [Maps Mania]

Over the past 17 years, DigitalGlobe has collected more than 7 billion square kilometres of satellite imagery. Just one image from a satellite like WorldView-3 can be 30 GB. The DigitalGlobe archive now consumes 100 petabytes of storage and increases by 10 PB each year. To move all of this data onto a cloud environment, was therefore no easy feat and required a shipping container sized storage device from Amazon Web Services. It’s so big that, ironically, it can be seen from space (pictured). [DigitalGlobe Blog]

“How Adventurous Are You?” is an interactive scratch map. By clicking on all of the countries that you have visited, the map reveals how much of the world that you have seen. You can then find out how your adventures compare to a number of celebrities. Have you travelled, more than Queen Elizabeth II, for example? I doubt it. [TravelSupermarket]

Reddit user Vinnivinnivinni posted an awesome amimated GIF of the Berlin Subway Map compared to its real geography. Maybe you’re not as close as you think. [Reddit]