vector-osmnx-tree-analysis

A Python‑based vector workflow analyzing street tree density across Cambridge, MA zoning districts using GeoPandas, OSMnx, and OpenStreetMap road networks.

Tech Stack

• Python
• GeoPandas
• OSMnx
• Matplotlib

Workflow

• 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.

Data Sources

• 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.