In oder to decide upon the utilization of OpenStreetMap (OSM) data for a field of interest in a specific region of the world it is of great importance to asses of the quality of OSM data. Therefore the analysis of the evolution of the data is a decidedly sensible approach and allows to derive measures and to develop analytical tools that give insight into the quality of the data. The visual exploration of the history of OSM Data presents a step to uncover interesting semantic connections, regions of interest and their contiguity in time and space.
The OpenStreetMap History eXplorer (ohsomeHeX) resembles the idea of the OSMatrix1 but improves many of its shortcomings. It allows the spatio-temporal exploration of the OSM data on a global scale. Therefore we use the ohsome OpenStreetMap History Data Analytics Platform to aggregate the data of selected features into a set of world spanning hexagonal grids2 in a monthly resolution.
ohsomeHex is being developed at the HeiGIT Big Spatial Data Analytics team. This is a BETA version. Stay tuned, new features are coming soon.
1. OSMatrix was developed at the GIScience working group between 2011-2013. For more information see ↩
- Roick, O.; Loos, L.; Zipf, A. (2012): A Technical Framework for Visualizing Spatio-temporal Quality Metrics of Volunteered Geographic Information. Geoinformatik 2012, Braunschweig, March 2012.
- Roick, O.; Hagenauer, J.; Zipf, A. (2011): OSMatrix - Grid based analysis and visualization of OpenStreetMap. State of the Map EU. Wien, July 2011.).
2. To generate the hexagonal grids we use DGGRID version 6.4. Many Thanks to Kevin Sahr and all contributors for this great piece of software. ↩