The debate about broadband evolution and availability seems to become emotive often for want of hard facts in a digestible from. As I couldn’t find anyone who could provide me with the maps I needed I started my own mini practice alongside my usual strategy work, mapping broadband and related information to support business and technical architecture.
Over the last while I’ve worked with Samknows, the oracle of primary broadband data; blending their data with information from other sources like the Office of National Statistics provides a fantastic insight into broadband availability and the people whose lives it touches.
Representing national data means mapping systems and databases so I’ve built up a substantial repository of data, modelled around a range of mapping tools; working with Samknows as often as I can has resulted in an unparalleled picture of broadband Britain which has unpicked any number of myths and assumptions – certainly plenty of my own.
Below are some examples from this output – contact me if you’d be interested in me helping you understand the broadband landscape in your area.
| This first one came from recently tinkering around with some of the more hidden tools in my GIS tool-kit to see if there were other ways of portraying the broadband landscape. Blue areas are cooler, slower broadband speeds, rising to warmer, sunlit areas with good performance. Not sure if it quite works or not but its different at least. |
| This image uses a model I put together using ONS land-use and population data t create a proxy for the cost and effectiveness of next generation broadband investments. The model estimates the mean distance between neighbours – the further two home are apart, the more expensive they will be to install fibre-optic cables, and the less effective fibre to the cabinet is likely to be. |
| This map of the London Borough of Enfield uses a more traditional approach to mapping broadband speeds reported at ONS Lower Super Output Areas (LSOAs); at this level some of the broadband detail is lost but it does allow the data to be linked to other public datasets like deprivation indices or transport data. |
| This was just a bit of election fun really – what would parliament look like if only MP’s who represent constituencies in the “Final Third” could form the Government. |
| The Department for Communities and Local Government (DCLG) commissioned a model which attempted to predict next generation access broadband for a number of penetration levels. This is the result for Cumbria should NGA reach 70% of the UK population. |