In this repo we build code which can help to predict cellular site density for countries around the world.
Datasets are widely developed to help the analysis of energy, water or transport networks. Indeed, estimating the number of people who do not have access to electricity is a highly developed research area within sustainability science, energy policy etc. and is essential information for meeting the infrastructure-related Sustainable Development Goals.
However, we currently lack this information to help us understand how many people are connected to a basic 2G voice phone serice, or indeed to the internet (via 3G, 4G or 5G). This is highly surprising given how important internet access is in revolutionizing economic development opportunities.
Currently:
- Ed Oughton (Oxford)
- Tom Russell (Oxford)
We're open to co-authorship on this work from anyone who can provide cellular site data to help validate the predictive models developed.
Please do get in touch if you would like to join the research team by contacting edward.oughton@ouce.ox.ac.uk.