How many different ways can a specific feature be represented in OSM? What if I wanted to style all similar features consistently? The Earth Table enables just this. Dividing all of OSM into 10 high-level themes including buildings, water, land use, etc., creates a well-defined, ergonomic schema of basemap data for anyone to use without needing to be an expert on OSM tagging.
Need to know if there’s any bodies of water in a location including oceans, lakes, rivers, and ponds? Just query for ‘water’. Want all the parks in the world? Just query for ‘parks’. Want to count the number of buildings in each State? Query for buildings and group by state.
This lightning talk will quickly introduce the earth tables and how to use them.
Speakers
Next up in State of the Map US
Previous talkSpatial Mapping in python with GeoPandas and OpenStreetMap
For python users, mapping spatial data is made a lot easier by the GeoPandas library. However, it does have some limitations. By including basemaps (such as OSM) when mapping your data, users...
