stevefaeembra
OpenStreetMap tile usage
heat map of OpenStreetMap tile usage for 25 May 2015.
Data copyright OpenStreetmap contributors (data from here).
Only shows tiles at zoom level 9... higher zoom levels (like 15-17) would give a better indication of possible editing activity.
Darker areas are more requested tiles. Done using deciles of the natural logarithm of number of tile requests
Used a short (<50 line) python script to convert the tile log (which is essentially a csv file) into another csv file with wkt for each tile's geometry added as a field. This was then brought into QGIS as a wkt delimited file. Simpler to do this than to mess around with creating shapefiles :)
Can see HOT humanitarian mapping hotspots in Nepal and the Phillipines.
There's a hotspot around (0,0), and an interesting great circle fragment over Russia, which might be someone panning on a globe?
Interesting to see that most of the inhabited parts of the world are being served
OpenStreetMap tile usage
heat map of OpenStreetMap tile usage for 25 May 2015.
Data copyright OpenStreetmap contributors (data from here).
Only shows tiles at zoom level 9... higher zoom levels (like 15-17) would give a better indication of possible editing activity.
Darker areas are more requested tiles. Done using deciles of the natural logarithm of number of tile requests
Used a short (<50 line) python script to convert the tile log (which is essentially a csv file) into another csv file with wkt for each tile's geometry added as a field. This was then brought into QGIS as a wkt delimited file. Simpler to do this than to mess around with creating shapefiles :)
Can see HOT humanitarian mapping hotspots in Nepal and the Phillipines.
There's a hotspot around (0,0), and an interesting great circle fragment over Russia, which might be someone panning on a globe?
Interesting to see that most of the inhabited parts of the world are being served