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6 New Must-Read Books in Geospatial Data Science
Unlock the Power of Geospatial Data Science with These New Books
In 2023, there are exciting opportunities to delve into Geospatial data science. Several important books have recently been released, and I would like to highlight six must-read titles for those interested in this field.
1. Applied Geospatial Data Science with Python
Leverage geospatial data analysis and modelling to find unique solutions to environmental problems.
By: David S. Jordan
"Applied Geospatial Data Science with Python" is a comprehensive guide for data scientists and GIS professionals to use Python for geospatial data analysis and visualization. The book covers the basics of geospatial data and Python libraries for exploratory spatial data analysis and case studies on solving real-world environmental problems. It includes hands-on tutorials, code examples, and real-world case studies to provide a wealth of information and resources for success in this growing field.
The book is divided into three parts:
- Part I: The Essentials of Geospatial Data Science introduces the fundamentals of geospatial data, such as coordinate systems and projections. It also covers the…
