Geospatial Data Science: Mastering GeoPandas for Analysis Event, 19.May.2025

Course Description

This intensive 5-day course provides a comprehensive introduction to geospatial data analysis using Python's GeoPandas library. Participants will learn to manipulate, analyze, and visualize geographic data efficiently. The course covers fundamental concepts of geospatial data, practical applications of GeoPandas, and advanced techniques for spatial analysis and visualization.

Learning Objectives

• Understand core concepts of geospatial data and GIS principles
• Master GeoPandas for reading, writing, and manipulating geospatial data
• Perform spatial operations and analysis using GeoPandas
• Create compelling visualizations of geospatial data
• Apply GeoPandas to real-world geospatial analysis problems

Course Modules

Day 1: Introduction to Geospatial Data and GeoPandas

• Geospatial data fundamentals and GIS concepts
• Setting up the Python environment for GeoPandas
• Introduction to GeoPandas data structures
• Reading and writing geospatial data formats

Day 2: Working with Geospatial Data in GeoPandas

• Coordinate Reference Systems (CRS) and projections
• Geometric operations and spatial indexing
• Attribute and spatial queries
• Joining and merging spatial datasets

Day 3: Spatial Analysis with GeoPandas

• Buffering and distance calculations
• Spatial overlays and intersections
• Aggregating and dissolving geometries
• Spatial clustering and point pattern analysis

Day 4: Geospatial Data Visualization

• Basic mapping with GeoPandas and Matplotlib
• Choropleth maps and graduated symbols
• Interactive mapping with Folium and Geoviews
• Customizing map layouts and styles

Day 5: Advanced Topics and Real-world Applications

• Working with raster data alongside GeoPandas
• Integrating GeoPandas with other geospatial libraries
• Optimizing GeoPandas for large datasets
• Case studies and practical projects

Practical Wins for Participants

• Ability to efficiently process and analyze large geospatial datasets
• Skills to create professional-quality maps and visualizations
• Techniques for integrating geospatial analysis into data science workflows
• Hands-on experience applying GeoPandas to real-world spatial problems