Statistics Data Visualization Climate by Shen Samuel (10 results)

hardcover. Condition: Very Good. Cover and edges may have some wear.

Hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket Issued. Very good hardcover, from a private home collection. Binding is tight, sturdy, and square; boards and text also very good. A nice copy. Due to the size/weight of this book extra charges may apply for international shipping. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.…

Condition: New.

Condition: New. In English.

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.…

Hardcover. Condition: Brand New. 458 pages. 10.28x8.19x1.18 inches. In Stock.

Hardback. Condition: New. New copy - Usually dispatched within 3 working days.

Hardcover. Condition: Brand New. 458 pages. 10.28x8.19x1.18 inches. In Stock.

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.…

Buch. Condition: Neu. Statistics and Data Visualization in Climate Science with R and Python | Samuel S. P. Shen (u. a.) | Buch | Englisch | 2023 | Cambridge University Press | EAN 9781108842570 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…