• Title: Geographic Data Science with Python
• Author(s) Sergio Rey, Dani Arribas-Bel, Levi John Wolf
• Publisher: Chapman and Hall/CRC; 1st edition (June 14, 2023)
• License(s): CC BY-NC 4.0
• Hardcover/Paperback: 416 Pages
• eBook: HTML
• Language: English
• ISBN-10: 0367263114
• ISBN-13: 978-0367263119
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Book Description

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life.

It introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.

• Showcases the excellent data science environment in Python.
• Provides examples for readers to replicate, adapt, extend, and improve.
• Covers the crucial knowledge needed by geographic data scientists.

• Sergio Rey is Professor of Geography and Founding Director of the Center for Open Geographical Science at San Diego State University.

• Amazon

• Geographic Information Systems (GIS), Web Mapping
• Python Programming
• Data Science and Data Engineering
• Data Analysis and Data Mining, Big Data
• Statistics, Mathematical Statistics

• Geographic Data Science with Python (Sergio Rey, et al.)
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