Annex 1: Examples of network mapping

As more companies, governments and multilateral organizations invest in communication infrastructure and unlock value in the market, it is becoming increasingly important to locate demand and optimize resource allocation. Hyper-local geospatial data offer an innovative way to answer these questions and provide guidance on where to upgrade and expand network services. Geospatial solutions can easily reveal areas where connectivity is not available or is of poor quality. In a mobile market report published by Bain & Company, Fraym weaved together satellite imagery and geospatial data to produce a granular view of network coverage and quality in Nigeria’s Lagos State. Fraym mapped 4G tower locations and calculated the number of people per tower within a one-square kilometre grid (see Figure A1.5). The hyper-local map shows that 4G network services are of poor quality in most parts of Lagos, suggesting a large service gap for investments and interventions to fill.

Figure A1.5. 4G tower locations and number of people per tower within a one-square kilometer grid