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.
Level
Intermediate, Advanced
Requirements
Basic knowledge of Python, Basic knowledge of digital image processing and Geographic Information Systems
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
Resources
The future is urban, the data is smart by Andreas Rienow, Lars Tum
Administration
This content is based on the NFDI4Earth Educational Pilot "The future is urban, the data is smart" by Andreas Rienow , Lars Tum which is licensed under a Creative Commons Attribution Non Commercial Share Alike 4.0 International . Modifications were made to the original content. This modified content is licensed under CC BY-NC-SA 4.0 .