But there’s more: combined with other datasets, it can answer a wide variety of questions, be put to a wide variety of uses across many industries.
Most recently, we worked on a version for the Dolphin Square Foundation. Their remit requires them to find properties within a specific travel time from the centre of London, and with the best net yield—a perfect challenge for Mapumental. You can read what we did here.
You may see some similarities with our Mapumental Property, which combines house prices with transit time, so property hunters can see what’s available both within their budget and within a tolerable commute of their workplace.
We’ve used Mapumental for many a time-based travel conundrum, like our project with the Fire Protection Agency that drew on fire engine response times to calculate risk-based insurance premiums for any given postcode. Or the work we did for the Welsh Government, plotting accessibility of schools.
Like we said, Mapumental is flexible enough to work in all sorts of fields, for all sorts of purposes. Take a look at our Dolphin Square case study to find out more about its latest incarnation.