New Book by Rey, Arribas-Bel, and Wolf Geographic Data Science with Python by CRC Press.
From the publisher:
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. Geographic Data Science with Python 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.
The book is also available as an executable text.
Sergio Rey
Director and Professor
My research interests include geographic information science, spatial inequality dynamics, regional science, spatial econometrics, and spatial data science.
Dani Arribas-Bel
Professor of Geographic Data Science
I am Professor in Geographic Data Science at the Department of Geography and Planning of the University of Liverpool (UK), and Deputy Programme Director for Urban Analytics at the Alan Turing Institute , where I am also ESRC Fellow. At Liverpool, I am a member of the Geographic Data Science Lab.
Levi John Wolf
Senior Lecturer/Associate Professor
I work in spatial data science, building new methods and software to learn new things about social and natural processes.