Strictly Spatial #26

17 October 2016

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Spring is finally getting its act together, the days are getting longer and warmer and summer is looking oh so close. Find a nice sunny perch and check out what we have in this fortnight’s Strictly Spatial! This fortnight we explore a new partnership with two geospatial giants, population variations in New Zealand, building height data in Mapbox, and more!

Last week at the ITS World Congress Esri announced a new partnership with the traffic and navigation app, Waze. The partnership, detailed in this Esri blog post, explains how Esri and Waze will work together in an open data sharing arrangement. This means more real-time data fed directly into Esri software and apps. Techcrunch has also written an informative article on the new partnership.

Strictly Spatial 26a

Over time population distributions change. The changes can be attributed to many factors, such as changing economies, aging populations and natural events. This map by Dumpark shows how the population distribution in New Zealand has changed between the 2001 and 2013 censuses. It very clearly shows the movement of people from the regions to the main cities. Even clearer is the change in Christchurch post earthquake! The map clearly highlights regions in the east which were affected by the earthquake(s) and regions that have significantly developed since (Rolleston).

Strictly Spatial 26b

Mapbox has recently released an updated version of their Mapbox Streets vector tiles (v7). This update adds building height data. The data is derived from building information (number of floors) taken from OpenStreetMap. Therefore, the accuracy and coverage may vary depending on where you’re wanting to map – compare Christchurch to New York! If you’re keen to work with this new data, Maps Mania has published a handy guide on using the new data.

We often think of using GIS to model the natural world or to manage man made (and natural) assets. However, if you stretch the principles of GIS outwards you can begin to model human behaviour. Using a BIM (Building Information Model) you are able to model crowd behaviour, in 3D! You can read more about it here.

Strictly Spatial 26c

With self-driving cars becoming a reality, AI (Artificial Intelligence) is being used to improve the decision making of these vehicles. But what about geospatial AI? Niall Conway has written a short piece on the emergence of AI in Geospatial. It is a very informative read, check it out here.

That’s all for this fortnights Strictly Spatial. If you’ve anything spatial that you’d like to share with us let us know on Facebook, @InterpretGS, LinkedIn or email.