GEOSPATIAL
German Healthcare OSM Data ETL
Healthcare analysis required extraction and processing of healthcare-related Points of Interest from OpenStreetMap data across all German regions.
CoverageAll Germany
DataHealthcare POIs
SourceOpenStreetMap
THE CHALLENGE
Healthcare analysis required extraction and processing of healthcare-related Points of Interest from OpenStreetMap data across all German regions.
OUR APPROACH
Built Python ETL pipelines using pyrosm and Overpass API to parse OSM PBF data files, filter healthcare POIs, and consolidate geospatial data across multiple German regions.
RESULTS
Project Outcome
Produced a comprehensive geospatial dataset of healthcare facilities (hospitals, clinics, pharmacies) across Germany from OpenStreetMap data.
All Germany
Coverage
Healthcare POIs
Data
OpenStreetMap
Source
TECHNOLOGY
Built With
PythonpyrosmOverpass APIGeoPandasPandas
GeospatialHealthcareData Engineering
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