A new infrastructure for exploring and analyzing OpenStreetMap

Ever wondered how you can generate/use some meta-information about OpenStreetMap for your project? Are you interested in visualizing different aspects of OpenStreetMap data?

In the article below, we present a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results’ reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too.

Have fun reading it!

Mocnik, F. B., Mobasheri, A., & Zipf, A. (2018). Open source data mining infrastructure for exploring and analysing OpenStreetMap. Open Geospatial Data, Software and Standards, 3(1), 7.

Technical overview of the proposed infrastructure
Technical overview of the proposed infrastructure
Calendar heat map with temporally arranged cells
Calendar heat map with temporally arranged cells
Visualization technique for the documentation of the folksonomy in the OSM wiki
Visualization technique for the documentation of the folksonomy in the OSM wiki

Further information about the analysis of the evolution of the OSM Wiki and tag folksonomy is given here:

Mocnik, F.-B., Zipf, A., Raifer, M. (2017): The OpenStreetMap folksonomy and its evolution. Geo-spatial Information Science. Taylor & Francis. DOI: 10.1080/10095020.2017.1368193.