Home > Public Domain Data > One size doesn’t fit all – global and local mapping solutions

One size doesn’t fit all – global and local mapping solutions

Couple of interesting articles posted recently highlighting some of work undertaken by local groups providing detailed, custom mapping to meet specific local requirements and ongoing frustrations with the lack of adoption of some of these open data sources.

For most of us, the lack of information on street gradient, footpath kerb height and ramp details in popular online map services is usually not an issue but for those with a physical disability, this can be a problem. The University of Washington’s Taskar Center for Accessible Technology has come up with one solution, AccessMap, developed on an OpenStreetMap/OpenSideWalks platform, to provide safe and accessible trip planning information (Salman, 2018). AccessMap, currently limited to the city of Seattle in NW USA, integrates information from the USGS National Elevation Dataset (NED) with sidewalks data from Seattle DoT and the HackcessibleMap – Sidewalks project, to provide a more detailed description of local conditions.

 

Shaikh (2018) describes the growing resistance in India to large corporations owning all the mapping data and not providing the level of detail necessary to help solve local community issues such as mapping fire catchment areas and managing litter collections. Many OpenStreetMap proponents in India, driven by different motivations but facing similar issues with respect to the lack of local detail, have stressed the importance of creating maps using local landmarks, knowledge and where possible providing the information in local languages. However, although detailed open data mapping resources have been used successfully in humanitarian aid projects and environmental monitoring schemes in India, there is sense that the detailed information now available in open data sources is not used to its full extent. One of the big challenges facing open data communities is to persuade government organisations and large companies to consider alternate open data sources for their mapping requirements.

 

 

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