📅 2023-07-27 — Session: Implemented Geospatial Data Processing with GeoPandas
🕒 19:30–20:05
🏷️ Labels: Geopandas, Geospatial, Python, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to implement geospatial data processing using GeoPandas, focusing on loading, manipulating, and analyzing geospatial data.
Key Activities
- Loading JSON Data: A guide was provided for downloading JSON data from a URL and loading it into a GeoDataFrame using GeoPandas.
- Downloading and Extracting Shapefiles: Python code examples were shared for downloading ZIP files containing shapefiles and loading them into a GeoDataFrame.
- Handling SSL Errors: Instructions were given on bypassing SSL certificate verification when downloading files with the requests library, along with a security best practices warning.
- Specifying Extraction Directories: Solutions for extracting ZIP files to specified directories were discussed.
- Spatial Join and Overlay: Techniques for performing spatial joins and curated overlays on GeoDataFrames were implemented, including sorting columns by unique value counts.
Achievements
- Successfully implemented methods for loading and processing geospatial data using GeoPandas.
- Developed functions for spatial joins and curated overlays, enhancing data analysis capabilities.
Pending Tasks
- Further exploration of security best practices when handling SSL certificates in production environments.
- Optimization of data manipulation techniques for larger datasets.