Geospatial Knowledge Graphs

The geospatial element comes from like the fact that a lot of information in these data sets has a location attribute. We are taking the H3 grid, platonic into or like exploding it into a tree in the hierarchical relationships and attaching our data to those H3 nodes at the appropriate resolution. Now you can know containment relationship at this point like this person lives in that neighborhood. Another example is let's say you have weather data. There are weather polygons for which units at which they weather forecast data is coming in. Now I can map that to H3 cells. And by way of indexing all this information to a location we are able to infer correlation causality between different features