[OSM-talk] Find actively browsed undermapped regions and other gaps in OSM

[Darafei Praliaskouski]

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 <darafei at 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