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](http://k1z.blog.uni-heidelberg.de/files/2018/07/40965_2018_47_fig1_html.png)
![Calendar heat map with temporally arranged cells](http://k1z.blog.uni-heidelberg.de/files/2018/07/40965_2018_47_fig4_html.png)
![Visualization technique for the documentation of the folksonomy in the OSM wiki](http://k1z.blog.uni-heidelberg.de/files/2018/07/40965_2018_47_fig7_html.png)
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.