Collection of small GIS & Python-based projects
This repository is a growing collection of small, practical, real-world GIS projects built entirely using Python and open-source geospatial libraries. Each project is designed to be:
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Beginner-friendly, yet technically strong
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Portfolio-ready, showcasing your GIS & Python skills
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Modular, so each project stands alone
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Useful for interviews, resumes, GitHub portfolio
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Educational, with clear code, comments, and explanations
Aligned with industry workflows used in planning, utilities, smart cities, environment, urban analytics, and GeoAI
Whether you're a GIS student, geospatial analyst, Python learner, or an urban planning professional, this repository serves as a practical learning library to strengthen core skills in spatial analysis.
The goal of this collection is to:
✔ Build a strong Python + GIS learning portfolio
Projects here help you show recruiters and clients what you can actually build, not just what you know.
✔ Practice real workflows used in industry
Each project uses modern open-source tools like GeoPandas, Rasterio, OSMnx, Folium, RasterStats, Scikit-Learn, PyTorch (for advanced tasks), etc.
✔ Teach GIS concepts through practical examples
Every notebook includes:
--> Clear explanations
--> Step-by-step code
--> GIS theory behind each operation
--> Real datasets
--> Visualization outputs
--> Exportable maps & tables
✔ Create ready-to-use templates for future projects
You can copy any project and adapt it to:
Another city
Another raster
Another vector layer
Another problem (density, accessibility, suitability, risk, etc.)
Inside the folder GIS_Small_Python_Projects, you’ll find a set of individual projects. Each project includes:
📁 Project Folder │── 📓 Jupyter/Colab Notebook (full workflow) │── 📄 README.md (project explanation) │── 🗂 data/ (download instructions or small sample) │── 🖼 outputs/maps (PNG maps) │── 📊 outputs/tables (CSV stats) │── 🧰 scripts/ (helper Python scripts)
Each project focuses on a single GIS analytical task, such as:
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Population density mapping
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Accessibility analysis
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Raster zonal statistics
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Urban hotspot mapping
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Geospatial clustering
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Road network analysis
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Elevation & terrain analysis
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Remote sensing classification
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Suitability modeling
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Time-series geospatial analysis
This repository is perfect for:
--> GIS Analysts
--> Geospatial Developers
--> Python learners
--> GeoAI enthusiasts
--> Urban planners
--> Remote sensing students
--> Data science professionals entering GIS
--> Anyone preparing for GIS interviews
Each project is small, but impactful — ideal for showing real geospatial problem-solving skills.
You can:
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Open any project folder
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Read the README
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Open the notebook
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Run it in Google Colab or locally
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View the generated maps/tables
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Modify the AOI or dataset to create new variations
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Use the workflow in your own portfolio or job interviews
If you'd like to:
Suggest a new project
Improve existing notebooks
Add datasets
Collaborate on GeoAI projects
Open an issue or drop me a message on LinkedIn.
📬 Author
Soumya Saswat Mishra GeoAI Analyst | Native GIS Founder | GeoAI Educator
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