Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Big River Books, Powder Springs, GA, U.S.A.
Condizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: H N H International Limited, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: H N H International Limited, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Majestic Books, Hounslow, Regno Unito
EUR 61,79
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EUR 63,65
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: H N H International Limited, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 62,60
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Da: California Books, Miami, FL, U.S.A.
EUR 75,27
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 80,73
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Aggiungi al carrelloPaperback. Condizione: 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.
EUR 66,84
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2023-06-14, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Chiron Media, Wallingford, Regno Unito
EUR 64,33
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: 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.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 67,86
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 76,77
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Aggiungi al carrelloHRD. Condizione: Used - Good. Used Book. Shipped from UK. Established seller since 2000.
HRD. Condizione: Used - Good. Used Book. Shipped from UK. Established seller since 2000.
Condizione: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 416 pages. 9.19x6.13x1.06 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 83,07
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 73,65
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Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condizione: 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.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032445955 ISBN 13: 9781032445953
Da: Rarewaves.com UK, London, Regno Unito
EUR 73,96
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 82,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Geographic Data Science with Python | Sergio Rey (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Chapman and Hall/CRC | EAN 9781032445953 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Condizione: New.
EUR 159,01
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Aggiungi al carrelloCondizione: New.