About This Course
The course explores the integration of Python with Volunteered Geographic Information (VGI) for spatial data analysis and geospatial insights. It covers key methodologies, tools, and datasets to leverage VGI in diverse applications. Participants will gain hands-on experience with:
- Building Development and Extraction: Utilizing the ohsome API to extract and analyze building data from publicly available sources like OpenStreetMap.
- Population and Amenity Analysis: Combining OpenStreetMap amenities data with population data from Google Earth Engine (GEE) to generate new insights through publicly available datasets.
- Road Network Analysis: Employing the osmnx API for analyzing road networks and performing basic area calculations using geospatial data.
The course aims to connect theoretical foundations with practical applications in urban and environmental planning, fostering the ability to work with open geospatial datasets and Python-based tools effectively (Access this course on GitLab).
Level
Intermediate, Advanced
Subject Area
Geoinformatics
What You Will Learn
- Setting up Your Workspace
- OHSOME Building Development
- OHSOME Buildings Extraction
- Assessing Flood Damage
- Combining OSM Amenities and GEE Population Data
- osmnx Network Analysis
- osmnx Buildings and Roads