📅 2023-06-11 — Session: Developed Python Scripts for Geospatial Data Aggregation
🕒 06:50–08:20
🏷️ Labels: Python, Geospatial Analysis, Data Aggregation, DHS, Spatial Join
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and document Python scripts for geospatial data aggregation and analysis, focusing on raster data aggregation, spatial joins, and survey point assignments.
Key Activities
- Raster Data Aggregation: Developed a Python script using pandas, geopandas, and rasterstats to aggregate raster data into polygons, compute population statistics, and visualize results with matplotlib.
- Spatial Join: Created a script to associate violent event points with administrative areas, providing a README for installation and execution.
- DHS Survey Point Assignment: Designed scripts to assign DHS survey points to administrative areas, facilitating data consolidation and analysis.
- Code Optimization: Improved Python code structure for readability, including import statement consolidation and enhanced comments.
Achievements
- Completed the development of scripts for raster data aggregation, spatial join, and DHS survey point assignment.
- Documented the scripts with comprehensive READMEs and improved code structure for better readability and maintenance.
Pending Tasks
- Further testing and validation of the scripts in different geospatial scenarios to ensure robustness and accuracy.