Geospatial Data Analytics on AWS
The companion site for the Packt book on cloud-native geospatial engineering.
Live Site · Buy on Amazon · Read on O'Reilly
What's in the book
400+ pages covering the full stack of cloud-native geospatial work — from raw data ingestion to production-ready AWS architectures. Real examples, real data, real pipelines.
- AWS geospatial services and infrastructure patterns
- Data ingestion pipelines with Lambda, Glue, and S3
- Cloud-Optimized GeoTIFFs, STAC, and open standards
- Spatial analysis and machine learning on SageMaker
- Visualization with QuickSight and open-source tools
Yes, that's a real Athena query against a stadiums table. Houston Astros made the cut.
The site
The companion site is a static GitHub Pages app with interactive in-browser playgrounds — no AWS account required to explore the concepts.
Playgrounds:
| Playground | Concepts |
|---|
| Spatial Data Processing | Buffer, dissolve, convex hull, Voronoi — live in-browser |
| Map Visualization | Layer styling, base maps, interactive controls |
| Satellite Imagery Analysis | Sentinel-2 band combinations and spectral indices |
| Pipeline Builder | Drag-and-drop AWS ETL architecture designer |
| Field Operator Efficiency | Live OSRM-routed maintenance scheduling across technicians and days |
The Field Operator Efficiency playground's map view — three technicians' homes, the Hilcorp field office, and all 22 KGFCU wellheads, plotted at their real coordinates.
The authors
Three AWS solutions architects who spent a lot of time together in AWS console sessions, conference rooms, and at least one very good lunch.
Scott and Jeff celebrating the manuscript at Fat Cat Cafe. Jana was probably on a call.
| | |
|---|
| Scott Bateman | Janahan Gnanachandran | Jeff DeMuth |
| Energy Innovation Leader, EY — formerly Principal SA, AWS | Principal SA, AWS — Analytics, AI/ML & Sustainability | Solutions Architect, AWS — Geospatial Community |
Running locally
git clone https://github.com/yewtaah/geospatial-aws-book.git
cd geospatial-aws-book
# Python
python -m http.server 8000
# or Node
npx http-server
Then open http://localhost:8000.
Repo structure
geospatial-aws-book/
├── index.html # Landing page
├── data-samples.html # Free dataset browser
├── css/style.css
├── js/main.js
├── data/catalog.json # Dataset catalog
├── assets/ # Images
└── playgrounds/
├── spatial-processing.html
├── satellite-imagery.html
├── pipeline-builder.html
├── field-operator-efficiency.html
└── terrain-3d.html
Deployment
Pushes to main deploy automatically to GitHub Pages:
https://yewtaah.github.io/geospatial-aws-book/
© 2026 Scott Bateman, Janahan Gnanachandran & Jeff DeMuth — Published by Packt
Mandatory Texas author photo.
