9780367263119 - geographic data science with python di rey, sergio; arribas-bel, dani; wolf, levi john (20 risultati)
Lingua: Inglese
Editore: CRC Press, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
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Editore: Chapman and Hall/CRC, 2023
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Editore: Chapman and Hall/CRC, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Taylor & Francis Ltd, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. 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: Chapman & Hall, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
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Hardcover. Condizione: Brand New. 416 pages. 9.19x6.13x0.98 inches. In Stock.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
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Hardback. 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: CRC Press, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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: CRC Press, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
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Hardcover. Condizione: new. Hardcover. 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. 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
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Hardcover. Condizione: new. Hardcover. 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. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2023
Serie: Libro 100 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
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Hardcover. Condizione: new. Hardcover. 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. 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
