📅 2023-07-27 — Session: Implemented geospatial data processing with GeoPandas
🕒 19:30–20:05
🏷️ Labels: Geopandas, Python, Geospatial, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to implement and refine geospatial data processing techniques using Python and the GeoPandas library.
Key Activities
- Loading JSON Data: A step-by-step guide was followed to download JSON data from a URL and load it into a GeoDataFrame using GeoPandas.
- Downloading and Extracting Shapefiles: Python code was utilized to download a ZIP file containing shapefiles and extract them to a specified directory, ensuring proper file management.
- Handling SSL Certificate Errors: Techniques to bypass SSL certificate verification in Python were discussed, with an emphasis on security best practices.
- Spatial Join and Overlay Functions: Implemented spatial join using
gpd.sjoin()and a curated overlay function to analyze geospatial data, including sorting columns by unique value counts.
Achievements
- Successfully loaded and processed geospatial data into GeoDataFrames.
- Implemented secure file download and extraction processes.
- Developed and tested spatial join and overlay functions for data analysis.
Pending Tasks
- Review and optimize the overlay function for performance improvements.
- Explore additional geospatial data sources for further analysis.