Geospatial data: the language you need to master for IoT fluency
IoT devices are everywhere – and there lies the problem. How do we keep track of every device, keep them maintained, and ensure they get to the right places at the right time in the right way? Geospatial data holds the answer.
Mapmechanics to speak at Smart Cities Summit
Smart Cities Summit, hosted by Hounslow Chamber and Dell EMC, Mapmechanics will be presenting our own perspective on Smart Cities
Five reasons it's time to reconsider night-time deliveries
Here is a list of the major benefits to customers, drivers and companies the relaxation of regulation surrounding night-time deliveries could bring.
Original research from Mapmechanics reveals roundabout in Oxford as the second most dangerous for cyclists in the country
Research from Mapmechanics revealed a roundabout in Oxford as the second most dangerous roundabout for cyclists, despite £1.35m of improvements in the area.
Retrofuturism: looking forward to the driverless car
David Cockrell discusses retrofuturism’s positive outlook on driverless cars and how we are finally beginning to live up to these lofty expectations.
The top 10 reasons why Smart Cities are a good idea [part 2]
allmapdata is facilitating a vision of the modern smart city through the licensing of advanced geographic data and software.
The top 10 reasons Smart Cities are a good idea [Part 1]
We have ranked the top 10 best features of smart cities from around the world.
What will smart cities be like in 100 years?
Most of the planet’s population will live in a city by as early as 2050. They will account for both the majority of energy consumption and CO2 emissions. If we are to meet technology’s full potential we have to think big. Interested to find out why? Read this post.
allmapdata Makes Free UK Daily Traffic Flow Data More Usable for Analysis
Free data from the UK Government on numbers of vehicles on the road has proved an invaluable resource for analysis and policy development by research bodies and “think tanks”, but in its raw form the data is not ideal for the kind of precise and accurate spatially-related analysis that these organisations aim for.