Geospatial Python: Expanded Project Guides
Generated from:
GEOSPATIAL_PYTHON_LEARNING_PROJECTS.mdThis folder contains deep-dive guides for each geospatial project in the learning path.
Overview
These projects cover the core of geospatial Python: vector and raster data, coordinate systems, spatial joins, network analysis, and map visualization. Each project is designed to produce a real artifact you can inspect and share.
Project Index
| # | Project | Difficulty | Time | Key Focus |
|---|---|---|---|---|
| 1 | Real-Time Earthquake Monitor | Beginner | Weekend | GeoJSON, mapping, filtering |
| 2 | Neighborhood Walkability Analyzer | Intermediate | 1-2 weeks | OSMnx, network analysis, isochrones |
| 3 | Property Value Choropleth with Price Prediction | Intermediate | 1-2 weeks | Choropleths, spatial features, modeling |
| 4 | Delivery Route Optimizer | Advanced | 2-3 weeks | Routing, geocoding, optimization |
| 5 | Satellite Image Land Cover Classifier | Advanced | 3-4 weeks | Raster workflows, indices, classification |
Prerequisites
- Solid Python basics
- Comfort with JSON/CSV data
- Basic understanding of maps (latitude/longitude)
Learning Paths
- Visualization First: Project 1 -> Project 3 -> Project 5
- Routing and Networks: Project 1 -> Project 2 -> Project 4
- Full Path: Project 1 -> Project 2 -> Project 3 -> Project 4 -> Project 5