A Python‑based vector workflow analyzing street tree density across Cambridge, MA zoning districts using GeoPandas, OSMnx, and OpenStreetMap road networks.
- Python
- GeoPandas
- OSMnx
- Matplotlib
- Load zoning polygons and group them into broad categories.
- Load street tree point data from Cambridge GIS.
- Use OSMnx to extract road networks and compute road length per zone.
- Calculate trees-per-meter metrics for each zone category.
- Identify the most common tree species per zone.
- Visualize results using Python-only geospatial plotting.
- Cambridge Zoning Categories:https://www.cambridgema.gov/-/media/Files/CDD/Maps/Zoning/cddmap_zoning_base_11x17_20240221.pdf
- Cambridge GIS Zoning Districts: https://www.cambridgema.gov/GIS/gisdatadictionary/CDD/CDD_ZoningDistricts
- Cambridge GIS Street Trees: https://www.cambridgema.gov/GIS/gisdatadictionary/Environmental/ENVIRONMENTAL_StreetTrees
- Road Network: OpenStreetMap (via OSMnx)
I took inspiration for this project from the Python Foundation series by Spatial Thoughts.