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Sprache: Englisch
Verlag: Edward Elgar Publishing Ltd, 2025
ISBN 10: 103539121X ISBN 13: 9781035391219
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Verlag: Edward Elgar Publishing Ltd, 2025
ISBN 10: 103539121X ISBN 13: 9781035391219
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Verlag: Edward Elgar Publishing Ltd, 2025
ISBN 10: 103539121X ISBN 13: 9781035391219
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Sprache: Englisch
Verlag: H N H International Limited, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
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Verlag: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
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In den WarenkorbPaperback. Zustand: New. 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 PythonProvides examples for readers to replicate, adapt, extend, and improveCovers the crucial knowledge needed by geographic data scientistsIt 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.
Sprache: Englisch
Verlag: H N H International Limited, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
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Zustand: New. 1st edition NO-PA16APR2015-KAP.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
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Paperback. Zustand: New. 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 PythonProvides examples for readers to replicate, adapt, extend, and improveCovers the crucial knowledge needed by geographic data scientistsIt 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.
Sprache: Englisch
Verlag: Chapman and Hall/CRC 2023-06-14, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
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Zustand: New. Sergio Rey is Professor of Geography and Founding Director of the Center for Open Geographical Science at San Diego State University. Rey is the creator and lead developer of the open source package STARS: Space-Time Analysis of Regional Systems a.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Paperback. Zustand: New. 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 PythonProvides examples for readers to replicate, adapt, extend, and improveCovers the crucial knowledge needed by geographic data scientistsIt 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.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
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In den WarenkorbPaperback. Zustand: New. 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 PythonProvides examples for readers to replicate, adapt, extend, and improveCovers the crucial knowledge needed by geographic data scientistsIt 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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