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Geographic Data Science with Python
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Geographic Data Science with Python

Book Details

Format Hardback or Cased Book
ISBN-10 0367263114
ISBN-13 9780367263119
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 14th, 2023
Print length 378 Pages
Weight 1,160 grams
Ksh 26,100.00
Werezi Extended Catalogue 0 in stock

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This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data. The book is structured around the excellent data science environment in Python.

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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