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CLC: T - 工业技术

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Statistics and data visualization in climate science with R and Python /

"A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data...

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Bibliographic Details
Main Authors: Shen, Samuel S. (Author)
Group Author: North, Gerald R.
Published: Cambridge University Press,
Publisher Address: Cambridge :
Publication Dates: 2023.
Literature type: Book
Language: English
Subjects:
Climatology > Statistical methods.
Climatology > Data processing.
Information visualization.
R (Computer program language)
Python (Computer program language)
Summary: "A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book 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"--
Carrier Form: xxii, 391 pages : illustrations (some color), forms ; 26 cm
Bibliography: Includes bibliographical references and index.
ISBN: 9781108842570
1108842577
9781108829465
1108829465
Index Number: QC874
CLC: P46-37
Call Number: P46-37/S546
Contents: Basics of climate data arrays, statistics, and visualization -- Elementary probability and statistics -- Estimation and decision making -- Regression models and methods -- Matrices for climate data -- Covariance matrices, EOFs, and PCs -- Introduction to time series -- Spectral analysis of time series -- Introduction to machine learning.

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