Displaying Time Series, Spatial, and Space-Time Data with R (Chapman & Hall/Crc the R) - Softcover

Perpinan Lamigueiro, Oscar

9781032779201: Displaying Time Series, Spatial, and Space-Time Data with R (Chapman & Hall/Crc the R)

Softcover

ISBN 10: 1032779209 ISBN 13: 9781032779201

Verlag: Chapman and Hall/CRC, 2025

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Focusing on the exploration of data with visual methods, the book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations, of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code.

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�ber die Autorin bzw. den Autor

Oscar Perpi��n-Lamigueiro is an Associate Professor at the Universidad Polit�cnica de Madrid, involved in teaching and research of Electrical Engineering, Electronics and Programming. He is also a lecturer of Photovoltaic and Solar Energy at the Escuela de Organizaci�n Industrial. He holds a Master's Degree in Telecommunications Engineering and a PhD in Industrial Engineering. At present, his research focuses on solar radiation (forecasting, spatial interpolation, open data) and software development with R (packages rasterVis, solaR, meteoForecast, PVF, tdr). https://www.routledge.com/authors/i2144-oscar-perpin-lamigueiro

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Verlag: Chapman and Hall/CRC
Erscheinungsdatum: 2025
Sprache: Englisch
ISBN 10: 1032779209
ISBN 13: 9781032779201
Einband: Taschenbuch
Auflage: 3
Anzahl der Seiten: 310
Kontakt zum Hersteller: preigu GmbH & Co. KG
mail@preigu.de

Lengericher Landstr. 19
Osnabr�ck
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9781032776217: Displaying Time Series, Spatial, and Space-Time Data with R (Chapman & Hall/Crc the R)

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DISPLAYING TIME SERIES SPATIAL AND SPACE TIME DATA WITH R 3ED (PB 2026)

LAMIGUEIRO O P

Verlag: Chapman and Hall/CRC, 2025

ISBN 10: 1032779209 ISBN 13: 9781032779201

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Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verk�ufers ABEOCT25-314136

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Displaying Time Series, Spatial, and Space-Time Data with R (Paperback)

Oscar Perpinan Lamigueiro

Verlag: Taylor & Francis Ltd, 2025

ISBN 10: 1032779209 ISBN 13: 9781032779201

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Paperback. Zustand: new. Paperback. Focusing on the exploration of data with visual methods, "Displaying Time Series, Spatial, and Space-Time Data with R" presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations, of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code.While the first edition primarily focused on static graphics, and the second edition significantly expanded upon interactive elements, this edition has been thoroughly updated with a modern emphasis. Key enhancements include: Comprehensive updates to all chapters: Incorporating the latest advancements in packages like "sf" and "terra." New content: Introducing valuable topics such as trajectories, hill shading, and cartograms, enriching the scope of the book.The book illustrates how to display a dataset starting with an easy and direct approach and progressively adding improvements that involve more complexity. Each of the three parts of the book is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics.Features Offers detailed information on producing high-quality graphics, interactive visualizations, and animations Uses real data from meteorological, climate, economic, social science, energy, engineering, environmental, and epidemiological research in many practical examples Shows how to improve graphics based on visualization theory Provides the graphics, data, and R code on the authors website, enabling you to practice with the methods and modify the code to suit your own needs. Focusing on the exploration of data with visual methods, the book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations, of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781032779201

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