Module 3: Spatial Data

3. Module 3: Spatial Data#

3.1. Objectives#

Introduce participants to foundational tools and techniques for geospatial data analysis using Python.

3.2. Learning Outcomes#

By the end of this module, participants will be able to:

  • Understand spatial data formats (vector and raster).

  • Load and explore spatial datasets using geopandas, shapely, and rasterio.

  • Perform spatial operations such as joins, clipping, and projections.

  • Integrate spatial and tabular datasets.

  • Generate zonal statistics and create interactive visualizations using folium.

3.3. Topics#

  • Spatial data formats: vector vs. raster

  • Loading shapefiles and GeoJSON with geopandas

  • CRS and spatial projections

  • Spatial joins, buffering, clipping

  • Combining spatial and tabular datasets

  • Visualizing with geopandas, matplotlib, folium

  • Raster basics with rasterio

  • Use case: Mapping access to financial services in Mozambique

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