Hi, Thinking about good locations for a mapping party, or just about where to go by yourself for a mapping session, can become harder in places where the map is pretty much complete looking. Looking under the hood can be helpful. For example at the age of the data. Older data is more likely to need updating that data that was just edited a little while ago. Of course, this is a significant simplification, but knowing where data has not been updated for a while will be helpful for QA and targeting mapping efforts. I started a prototype of 'staleness' visualization and I'd like to hear what you think. The main reason is that we will be running a mapping party in DC on July 15th and we were talking about where to go. So I did the analysis for DC[1] initially, and then for Amsterdam[2] to see if it made sense in a totally different community / geography setting. I think it shows data staleness in a nice, not too cluttered way, but I'd love to hear your thoughts. Should this be rolled out on a wider scale? Integrated with existing tools? (it's just a shapefile with a geoserver WMS on the back end, pretty portable.) There's some more background in a blog post[3] and the thing is on GitHub[4] if you want to see how it was done. Some ideas I have myself are (for another couple hours of procratination, of which there should be few): * grid-based analysis with averages per cell instead of individual data points. Looks more boring, but may have better information value. * Doing a 'stale POI' specific map / web service. Isolate meaningful POIs and serve those up. Stale POIs are particularly likely to need some updating; restaurants and shops change owners and close all the time.
[1] http://mvexel.dev.openstreetmap.org/dcstaleness/ [2] http://mvexel.dev.openstreetmap.org/staleness/amsterdam.html [3] https://oegeo.wordpress.com/2012/07/03/a-look-at-stale-openstreetmap-data/ [4] https://github.com/mvexel/staleness -- martijn van exel http://oegeo.wordpress.com _______________________________________________ Talk-us mailing list [email protected] http://lists.openstreetmap.org/listinfo/talk-us
