Really fun to see usernames where your brain expect places, I love it! Makes me want to check on neighborhood, so it's a good work. Yves
Le 20 octobre 2020 15:31:15 GMT+02:00, Darafei Praliaskouski via talk <talk@openstreetmap.org> a écrit : >Hi, > >Fixed links: > >Kontur OpenStreetMap Antiquity: >https://disaster.ninja/live/#id=GDACS_EQ_1240102_1338684;position=7.92,45.59;zoom=4.4;overlays=bivariate-custom_kontur_openstreetmap_antiquity > >Kontur OpenStreetMap Building Quantity: >https://disaster.ninja/live/#id=GDACS_EQ_1240102_1338684;position=-75.17,40.144086257217054;zoom=8.56;overlays=bivariate-custom_kontur_openstreetmap_building_quantity > >The other layers are available in the right Overlay panel. > >Have a good day. > >On Tue, Oct 20, 2020 at 3:46 PM Darafei Praliaskouski <dara...@kontur.io> >wrote: >> >> Hi mappers, >> >> We’ve polished our visualization of the need for OpenStreetMap data, >> and its quality. We’ve been building Disaster.Ninja tool to assist HOT >> in their activation process, but believe it’s also useful for the >> general mapping community. >> >> Kontur OpenStreetMap Antiquity layer lets you see where people look at >> the map tiles versus when the map was last edited. Good way to see >> undermapped regions that are explored by the users in search of data. >> We base the layer on tile views information, thanks Operations Working >> group for making it available for such analysis. >> >> https://disaster.ninja/live/#position=7.92,45.59;zoom=4.4;overlays=bivariate-custom_kontur_openstreetmap_antiquity >> >> Kontur OpenStreetMap Building Quantity is now pointing to a lot more >> missed buildings. This became possible thanks to Copernicus releasing >> a high resolution global landcover classification raster, and >> Microsoft providing the computer vision detected buildings for Canada, >> USA, Uganda and Tanzania. Look at the gaps here: >> >> https://disaster.ninja/live/#position=-75.17,40.144086257217054;zoom=8.56;overlays=bivariate-custom_kontur_openstreetmap_building_quantity >> >> I know this layer was used to plan some mapping parties in Ukraine already. >> >> Check out the other layers if you haven’t seen them, too. :) >> >> To support this visualization we combined all the available public >> datasets (Facebook Population, OpenStreetMap, Microsoft buildings, >> Copernicus) into a single world population dataset. If you need it for >> your analysis, get it here: >> https://data.humdata.org/dataset/kontur-population-dataset >> >> Hope to hear your thoughts on this update. >> >> Darafei > >_______________________________________________ >talk mailing list >talk@openstreetmap.org >https://lists.openstreetmap.org/listinfo/talk
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