1 results match your criteria: "Ecology and Evolutionary Biology Department University of Toronto Toronto Ontario Canada.[Affiliation]"
Article Synopsis
- * Urban ecologists often rely on inconsistent local government data, especially problematic for underserved areas, but community-driven databases like OpenStreetMap (OSM) offer a new avenue for creating tailored ecological maps.
- * The presented framework in R successfully extracts and integrates urban features from OSM into global land cover maps, achieving high accuracy while enabling better analysis of urban wildlife occupancy, demonstrated through a case study in Chicago.