With social distancing playing a key role in the national response to COVID-19, UKMap users became interested in data on pavement widths. Geomni UK needed to quickly develop a method to analyse the database and deliver a pavement width map. It would contain crucial information to those planning and implementing government guidelines.
Using FME Desktop with support from 1Spatial,Geomni UK was able to analyse and calculate the average width of pavements, quickly supplying the data as a value-add to UKMap. Users can now clearly and quickly identify the space available thanks to a colour-coded system: green indicates a width of more than three metres, yellow indicates pavements of between two and three metres, and red indicates an average width of less than two metres.
FME Desktop and consultancy were key ingredients in this project’s success. FME’s rapid prototyping and processing capabilities, in addition to its friendly user interface, were also key benefits.
Now, colour coded data quickly and clearly shows distances on Greater London pavements.
Geomni UK uses remote sensing and machine learning technologies to gather, store, process and deliver highly accurate geographic and spatially referenced information.
The work done by Geomni UK was done in partnership with 1Spatial.