With thousands of people mapping in OSM every day, missing building data in urban centers is steadily decreasing. Since OSM is a widely used source for projects researching urban phenomena around the world, a good data quality and an even distribution are important factors. If a spatial bias is present but not accounted for, researchers may draw false conclusions. Determining how OSM data quality varies within and between regions worldwide was a key goal of the research of Benjamin Herfort in...
