9780367263119 - geographic data science with python (chapman & hall/crc texts in statistical science) de arribas-bel, dani; wolf, levi john; rey, sergio (21 resultados)
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Editorial: CRC Press 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: CRC Press 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Editorial: Taylor & Francis Ltd 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Hardback. Condición: 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 l…ife. 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.
Idioma: Inglés
Editorial: Chapman & Hall 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 416 pages. 9.19x6.13x0.98 inches. In Stock.
Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Hardback. Condición: 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 l…ife. 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.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, London 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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EUR 161,03
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Hardcover. Condición: 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 i…n 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.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, London 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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EUR 156,60
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Hardcover. Condición: 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 i…n 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.
Idioma: Inglés
Editorial: CRC Press 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: 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: S…pace-Time Analysis of Regional Systems a.
Idioma: Inglés
Editorial: CRC Press 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Editorial: CRC Press 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hardcover. Condición: 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 i…n 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.
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Editorial: Chapman And Hall/CRC 2023
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 100 de 59. Libro 100 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 t…o 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.
