OpenStreetMap

OSM Node Density – 2017

Posted by tyr_asd on 2 July 2017 in English (English)

The latest installation of my yearly osm node density visualization is now online: https://tyrasd.github.io/osm-node-density shows the freshest data from mid 2017 (while the results from previous years starting with 2014 are also available on the site's layer selection menu).

Can you guess where the following example screenshot was taken?

Click here to find out.

Comment from Jedrzej Pelka on 3 July 2017 at 03:29

Could you please remove that fade-out-fade-in effect when switching layers? It only causes "change blindness".

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Comment from imagico on 3 July 2017 at 08:41

@Jedrzej - you need to change the color scale (in terms of nodes per square kilometer) as you zoom because the maximum node density per square kilometer is much migher if you integrate over smaller pixels at the high zoom levels than if you integrate over larger pixels.

But the non-linearity of the color scale could be adjusted to approximately maintain the overall color level of the map.

@tyr_asd - last year Joost Schouppe suggested comparing the node density to population density since there is obviously some correlation between those two, i wonder if anyone did something like that since then - this could be used to find the most overmapped/undermapped parts of the world relative to population.

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Comment from tyr_asd on 3 July 2017 at 09:31

@Jedrzej Pelka: You mean the short flash of a black screen when switching layers, right? Does it look better now? I've now actually added in a bit of fading to make the layer switching smoother.

@imagico: Right. But I'm not sure if Joost (or anyone else) has already had time to actually look into it, though.

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Comment from Tefexus on 11 July 2017 at 09:40

Looks great! Thanks. The screenshot is showing mostly Zimbabwe with Harare on the upper right and Francistown at the center bottom.

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Comment from Tefexus on 11 July 2017 at 11:00

oh. Just saw you linked directly to the solution. Now my comment looks a bit dumb... :)

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