Developed and Documented Geospatial Data Processing Scripts

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📅 2023-06-11 — Session: Developed and Documented Geospatial Data Processing Scripts

🕒 06:50–08:20
🏷️ Labels: Python, Geospatial Analysis, Data Processing, DHS, Raster Data
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to develop, organize, and document Python scripts for processing geospatial data, particularly focusing on raster data aggregation, spatial joins, and DHS survey point assignments.

Key Activities

  • Developed a Python script for aggregating raster data into polygons using libraries like pandas, geopandas, and rasterstats.
  • Created a README file for the raster data aggregation script, detailing usage instructions and input/output specifications.
  • Organized Python header cells for better code readability and structure, focusing on import statements and dependency management.
  • Developed and documented a spatial join script to analyze violent events within geographic boundaries, including installation and execution instructions.
  • Created scripts for assigning DHS survey points to administrative areas, facilitating data consolidation and analysis.
  • Improved Python code structure for plotting DHS points in Africa, enhancing clarity and reducing redundancy.

Achievements

  • Successfully developed and documented multiple geospatial data processing scripts.
  • Enhanced code readability and organization through structured Python headers and improved comments.
  • Provided comprehensive documentation for users, including README files and execution instructions.

Pending Tasks

  • Further testing and validation of the developed scripts to ensure robustness and accuracy.
  • Integration of these scripts into larger data processing workflows for comprehensive geospatial analysis.

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