www.eissq.com/osm/qt/ This is a spinoff from a need I had for a research project. I had to generate a quad-tree structure in order to geo-localize my sensor as quickly as possible, with the least amount of programming (target platform is a microcontroller). These images are just a natural side-effect of the program.
While limited to Europe only, I still find them interesting because you can see in the blink of an eye how different countries are better or worse represented in OSM. Compare, for instance, the two biggest countries in Europe: France and Germany. Each block represents the largest quad-tile containing 20 ways or less. The color represents how many ways there are in a block, with red being the most and blue the least (the "jet" colormap). Lastly, it's normal that some countries look squashed. This is because I haven't corrected for the converging lines of longitude at these higher elevations. It's also perfectly normal that the images are not to scale. I scaled them down to fit, so relative sizes are not equal. If you view the full size image, you'll see there is much more detail. The code I used for this is Matlab, and I will happily link to it if anyone is interested. It would be very easy to do this from C. Furthermore, it would be faster if it were done from a database, instead of the planet dumps. It would be interesting to generate these images for other countries outside of Europe, or even perhaps on a routine basis in order to track the evolution of OSM. Perhaps it can even be used as motivation for countries that are falling behind. Feedback welcome. Cheers, Kenn Sebesta _______________________________________________ dev mailing list [email protected] http://lists.openstreetmap.org/listinfo/dev
