Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Hardcover. Condition: Brand New. 458 pages. 10.28x8.19x1.18 inches. In Stock.
Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Published by CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Add to basketHardcover. Condition: Brand New. Brand New! Fast Delivery, Delivery With In 8-14 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
Published by CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
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Hardcover. Condition: NEW. Brand New! Fast Delivery USA Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Published by Cambridge University Press, GB, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.
Published by Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 458 pages. 10.28x8.19x1.18 inches. In Stock.
Published by Cambridge University Press, GB, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.