Samuel S. P.Shen,Gerald R.North
Statistics and Data Visualization in Climate Science with R and Python
Statistics and Data Visualization in Climate Science with R and Python
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Excellent- More about Statistics and Data Visualization in Climate Science with R and Python
This book provides a comprehensive introduction to statistical concepts, methods, data visualization, and modern computing tools for the climate sciences and related fields. It offers examples and exercises to work with real climate data and includes online supplementary resources for further learning.
Format: Unspecified
Length: 458 pages
Publication date: 30 November 2023
Publisher: Cambridge University Press
A comprehensive guide to essential statistical concepts, practical statistical methods, data visualization, and modern computing tools for the climate sciences, geography, and environmental engineering. This invaluable resource is a must-have for students and researchers in climatology and its related fields who aspire to learn data science, statistics, R, and Python programming. The book offers practical examples and exercises that empower readers to work with real climate data from station observations, remote sensing, and simulated results. For instance, students can utilize R or Python code to read and plot global warming and global precipitation data in various formats, such as netCDF, CSV, TXT, or JSON. They can also compute and interpret empirical orthogonal functions. The book's computer code and real-world data enable readers to fully leverage modern computing technology and up-to-date datasets. Additionally, online supplementary resources include R code, Python code, data files, figure files, tutorials, slides, and sample syllabi, further enhancing the learning experience. Whether you're a beginner or an experienced researcher, this guide will provide you with the skills and knowledge needed to excel in the field of climate sciences and beyond.
Weight: 1172g
Dimension: 208 x 261 x 31 (mm)
ISBN-13: 9781108842570
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