Open-Source Geospatial Data Processing & Modeling

QGIS | Python | GeoPandas | GDAL | PyProj

This repository demonstrates reproducible, open-source geospatial data processing workflows.
The focus is on raster and vector data preparation, transformation, and analysis.

The workflows here are designed to support decision-oriented geospatial analysis.

Objectives

• Demonstrate open-source geospatial data science workflows
• Process and validate raster and vector datasets programmatically
• Handle geographic projections and coordinate transformations correctly
• Produce reproducible analytical outputs suitable for modeling and decision support

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Tools & Libraries

• Python
  • NumPy, Pandas
  • GeoPandas
  • Shapely
  • PyProj
• GDAL (raster processing)
• QGIS (desktop validation and visualization)
• Matplotlib (visualization)