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Applied Geospatial Data Science with Python
Applied Geospatial Data Science with Python

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

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Key benefits

  • Learn how to integrate spatial data and spatial thinking into traditional data science workflows
  • Develop a spatial perspective and learn to avoid common pitfalls along the way
  • Gain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expanded

Description

Data scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you’ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You’ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you’ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you’ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you’ll be able to tackle random data, find meaningful correlations, and make geospatial data models.

Who is this book for?

This book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You’ll need to have a foundational knowledge of Python for data analysis and/or data science.

What you will learn

  • Understand the fundamentals needed to work with geospatial data
  • Transition from tabular to geo-enabled data in your workflows
  • Develop an introductory portfolio of spatial data science work using Python
  • Gain hands-on skills with case studies relevant to different industries
  • Discover best practices focusing on geospatial data to bring a positive change in your environment
  • Explore solving use cases, such as traveling salesperson and vehicle routing problems

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2023
Length: 308 pages
Edition : 1st
Language : English
ISBN-13 : 9781803240343
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What do you get with eBook?

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Product Details

Publication date : Feb 28, 2023
Length: 308 pages
Edition : 1st
Language : English
ISBN-13 : 9781803240343
Category :
Languages :
Concepts :

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Frequently bought together


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(8 Ratings)
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John D Jun 26, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Applied Geospatial Data Science with Python" is a wonderful book. It clearly describes the geospatial ecosystem to date and delves into some advanced topics on analysis. Whether you are an aspiring data scientist, a researcher, or a seasoned professional, this book will undoubtedly expand your skillset. My only critique would be that it doesn't focus as much on raster analysis.
Amazon Verified review Amazon
Yiqiao Yin Mar 28, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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!
Amazon Verified review Amazon
Gustavo May 18, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Nice title this Applied Geospatial Data Science with Python.The book is very good, and it explains the subject from the beginning, teaching what is GIS (geographic information systems), explaining the different types of files for Geospatial analysis, and then introducing us to how to work with that kind of data in Python.The author also covers the statistical side of the matter, explaining how to construct a hypothesis testing, featuring engineering, as well as how to develop geospatial models.This is a very complete book that I recommend to anyone who is interested in Geospatial analysis.
Amazon Verified review Amazon
tt0507 Apr 06, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As someone who has never dealt with Geospatial data, the book gave me a great introduction to several concepts such as GIS, utilizing geospatial data, and geopanda. The book explores deeply how to use the concepts and provides various examples. Lastly, the book also mentions geospatial data analysis applications such as vehicle route optimization and spatial clustering which were interesting to read.
Amazon Verified review Amazon
Anonymous Mar 23, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I especially like the treatment of ethical issues in GIS as well as the easy to understand visuals. Great book.
Amazon Verified review Amazon
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