Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks

by Milán Janosov

Geospatial Data Science Essentials is a hands-on guide to geospatial analytics with Python. It distills 101 core concepts — from theory to implementation — into practical, reproducible examples that reflect how geospatial data science is actually used today.

Written for data scientists, GIS professionals, and technically inclined newcomers to spatial data, the book focuses on real-world workflows rather than abstract theory. Across ten thematic chapters and 101 short sections, you will work with compact code examples covering spatial data structures, vector and raster processing, visualization, map projections, spatial indexing, OpenStreetMap data, spatial networks, and geospatial statistics and machine learning.

This second edition reflects updates in the geospatial Python ecosystem, including library updates, bug fixes, and new examples aligned with recent versions of tools such as GeoPandas and OSMnx.

Whether you are building analytical pipelines, exploring spatial patterns, or extending your existing Python skill set into the geospatial domain, this book provides a practical foundation for working confidently with spatial data.

487 pages, Kindle Edition

Published October 3, 2024

About the author

Milan Janosov is a prominent data scientist with a background in Physics, a PhD in Network and Data Science, and a current focus on Geospatial Data Science. Start-up co-founder, Forbes 30 uner 30 entrepreneur, and public educator. His work has been widely featured in professional, scientific, and popular media, including Towards Data Science, Nature Social Science Research, GQ, New Scientist, New York Times, TechXplore, The Economic Times, Gamestar, and more.

Janosov Milán adattudós és hálózatkutató. Tanulmányait és kutatásait az Eötvös Loránd Tudományegyetemen és a budapesti Közép-európai Egyetemen, a bostoni Barabási Laborban és a cambridge-i Bell Labsben végezte. Munkáiról többek között a GQ, a New Scientist, a The New York Times, a TechXplore, a The Times, a Phys.org, a Nightingale és a GameStar is beszámolt.

Reviews

[Réka Tóth · Rating 5 out of 5]

"Geospatial Data Science Essentials" is a fantastic guide for mastering geospatial analytics with Python. The book breaks down complex concepts into 101 concise sections, making it accessible and practical. The real-world examples and clear code snippets make learning engaging and immediately useful. Whether you're a beginner or an experienced professional, this book is an invaluable resource for enhancing your geospatial data science skills. Highly recommended!

[PamelaJo · Rating 5 out of 5]

As a beginner in geospatial data analysis, I found this book to be really practical. It covers most of the tasks that I frequently encounter in my projects. I would also highly recommend to follow the author on Linkedin and other social media, since he regularly posts beautiful visualisations of geospatial datasets, which combined with the book, can be a good resource for getting datasets and projects inspirations.

[Flora Borsi · Rating 5 out of 5]

Great way to start geo python, can't wait to use it in my projects, hope that there'll be a next book.

[Marija · Rating 5 out of 5]

I definitely recommend this book!!! It is the perfect practical guide to get you started and to give a clear beginner overview of geospatial data and Python coding tricks for analytics. I really enjoyed it and found it extremely useful. The topic organization is clear, the content is very useful, and most of all, it is easily accessible and comprehensible. It inspires you to go further into the topics and dive into experimenting with vector data, spatial networks, geocoding, and more. Milán did an amazing job!

[Fernando Gomes · Rating 5 out of 5]

I highly recommend this book by Milán Janosov! It’s an essential read for anyone looking to understand and apply geospatial data science using Python. With a practical and accessible approach, the author brilliantly covers key concepts, from theoretical foundations to real-world implementations.

What impressed me the most is the clear organization of topics, which makes it easy to follow, and the practical examples, which make the learning process smooth and directly applicable to real scenarios.

Whether you're a GIS enthusiast, a data scientist, or simply curious about the power of spatial analysis, this book is an invaluable resource for enhancing your knowledge and unlocking the potential of geospatial data science. Absolutely fantastic!

[Reader · Rating 5 out of 5]

Well, so far, I am enjoying the book and am specially pleased that Milan takes time to respond to individual comments and questions. All the best to you!

The book is highly recommended for geospatial analysis enthusiasts.

[Josua Naiborhu · Rating 5 out of 5]

This book outlines the geospatial essentials based on what the title wanna offer. clear and concise. Going from the very basic of geospatial data and the attributes like vector and raster data along the way to interacting with various type of them. Great learning experience from this book.

[Reader · Rating 5 out of 5]

A great source for analysing and visualising geospatial data using Python. Highly recommended!

[Edward Abooki · Rating 5 out of 5]

The content in the book is really structured well for both beginners and advanced users of GIS and data science field. It's a good resource for learning from real world examples used in the book.