---
product_id: 502495751
title: "Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems"
price: "Q1169"
currency: GTQ
in_stock: true
reviews_count: 10
url: https://guatemala.desertcart.com/products/502495751-applied-geospatial-data-science-with-python-leverage-geospatial-data-analysis
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region: Guatemala
---

# Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

**Price:** Q1169
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- **What is this?** Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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## Description

Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems [David S. Jordan] on desertcart.com. *FREE* shipping on qualifying offers. Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

Review: Great material for the novice or the expert - I especially like the treatment of ethical issues in GIS as well as the easy to understand visuals. Great book.
Review: Mastering Geospatial Data Science Workflows with Python - Applied Geospatial Data Science with Python is a must-read for data scientists and GIS professionals seeking to incorporate spatial thinking into their workflows. The book provides a comprehensive guide to developing end-to-end spatial data science workflows using Python. The book starts by introducing geographic information systems and geospatial data science, followed by a discussion of geospatial data and coordinate systems. It then dives into exploring geospatial data science packages and developing data visualizations. The book also covers important topics such as hypothesis testing, spatial randomness, feature engineering, spatial clustering, regionalization, regression modeling, and optimization. What sets this book apart is the practical approach it takes, providing readers with case studies and code samples that can be reproduced and expanded. The book also emphasizes best practices in geospatial data science, giving readers the tools they need to develop an introductory portfolio of spatial data science work using Python. Overall, "Applied Geospatial Data Science with Python" is an excellent resource for anyone looking to gain hands-on skills in geospatial data science. With this book, readers will gain a solid foundation in working with geospatial data, learn how to transition from tabular to geo-enabled data, and develop skills that are applicable to a variety of industries.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #875,353 in Books ( See Top 100 in Books ) #151 in Machine Theory (Books) #284 in Data Modeling & Design (Books) #777 in Python Programming |
| Customer Reviews | 4.1 4.1 out of 5 stars (20) |
| Dimensions  | 7.5 x 0.7 x 9.25 inches |
| Edition  | 1st |
| ISBN-10  | 1803238127 |
| ISBN-13  | 978-1803238128 |
| Item Weight  | 1.17 pounds |
| Language  | English |
| Print length  | 308 pages |
| Publication date  | February 28, 2023 |
| Publisher  | Packt Publishing |

## Images

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## Customer Reviews

### ⭐⭐⭐⭐⭐ Great material for the novice or the expert
*by A***S on March 23, 2023*

I especially like the treatment of ethical issues in GIS as well as the easy to understand visuals. Great book.

### ⭐⭐⭐⭐ Mastering Geospatial Data Science Workflows with Python
*by O***S on April 16, 2023*

Applied Geospatial Data Science with Python is a must-read for data scientists and GIS professionals seeking to incorporate spatial thinking into their workflows. The book provides a comprehensive guide to developing end-to-end spatial data science workflows using Python. The book starts by introducing geographic information systems and geospatial data science, followed by a discussion of geospatial data and coordinate systems. It then dives into exploring geospatial data science packages and developing data visualizations. The book also covers important topics such as hypothesis testing, spatial randomness, feature engineering, spatial clustering, regionalization, regression modeling, and optimization. What sets this book apart is the practical approach it takes, providing readers with case studies and code samples that can be reproduced and expanded. The book also emphasizes best practices in geospatial data science, giving readers the tools they need to develop an introductory portfolio of spatial data science work using Python. Overall, "Applied Geospatial Data Science with Python" is an excellent resource for anyone looking to gain hands-on skills in geospatial data science. With this book, readers will gain a solid foundation in working with geospatial data, learn how to transition from tabular to geo-enabled data, and develop skills that are applicable to a variety of industries.

### ⭐⭐⭐⭐⭐ Highly recommend it!
*by Y***N on March 28, 2023*

Confronted with an abundance of data, data scientists often find it challenging to convey geospatial analysis in an easily understandable manner for a broader audience. By employing Python for data visualization, those in non-technical positions can more effectively comprehend the problem and seek solutions. This book is designed to assist data scientists and GIS professionals in mastering geospatial data science workflows with Python. As you explore the book, you will encounter numerous geospatial Python libraries, facilitating the development of comprehensive spatial data science workflows. You will learn how to read, process, and manipulate spatial data effectively. Utilizing this data, you will proceed to create spatial data visualizations, enriching comprehension and narrating the data story through static and dynamic mapping applications. As you progress, you will build geospatial AI and ML models focused on clustering, regression, and optimization. These use cases can act as starting points for more advanced projects in a range of industries. Upon completing the book, you will be equipped to manage random data, pinpoint significant relationships, and construct geospatial data models. I highly recommend this book!

## Frequently Bought Together

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*Product available on Desertcart Guatemala*
*Store origin: GT*
*Last updated: 2026-02-08*