Statistics and data visualization in climate science with R and python

By:

Shen, Samuel S. P

Contributor(s):

North, gerald R [Co-author ]

Material type:

TextPublication details: New York Cambridge University press 2023Description: xxii, 390 p. Includes bibliographical reference and indexISBN:

9781108842570

Other classification:

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. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results.

Item type:

Textual

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textual	Ratan Tata Library	Ratan Tata Library								Available			RT1528484

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. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results.

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