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Geographic Data Science with Python

Af: Dani Arribas-Bel, Levi John Wolf, Sergio Rey Engelsk Paperback

Geographic Data Science with Python

Af: Dani Arribas-Bel, Levi John Wolf, Sergio Rey Engelsk Paperback
Tjek vores konkurrenters priser

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.

Tjek vores konkurrenters priser
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kr 526
Fragt: 39 kr
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20 kr
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Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 378
ISBN-13: 9781032445953
Indbinding: Paperback
Udgave:
ISBN-10: 1032445955
Udg. Dato: 14 jun 2023
Længde: 24mm
Bredde: 235mm
Højde: 153mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 14 jun 2023
Forfatter(e) Dani Arribas-Bel, Levi John Wolf, Sergio Rey


Kategori Geografiske informationssystemer (GIS) og fjernanalyse


ISBN-13 9781032445953


Sprog Engelsk


Indbinding Paperback


Sider 378


Udgave


Længde 24mm


Bredde 235mm


Højde 153mm


Udg. Dato 14 jun 2023


Oplagsdato 14 jun 2023


Forlag Taylor & Francis Ltd

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