eBook - ePub

Geographic Data Science with Python

Name: Geographic Data Science with Python
ISBN: 9781000885279

Sergio Rey,

Dani Arribas-Bel,

Levi John Wolf,

378 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Geographic Data Science with Python

Sergio Rey,

Dani Arribas-Bel,

Levi John Wolf,

About this book

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.

Key Features:

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

It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.

Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.

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Yes, you can access Geographic Data Science with Python by Sergio Rey,Dani Arribas-Bel,Levi John Wolf in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Probability & Statistics. We have over one million books available in our catalogue for you to explore.