Statistics and data visualization in climate science with R and Python / Samuel S. P. Shen, San Diego State University, Gerald R. North, Texas A&M University.
"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...
Saved in:
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
2023.
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| Subjects: |
MARC
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| 100 | 1 | |a Shen, Samuel S., |e author. |0 http://id.loc.gov/authorities/names/n93027986 |1 http://isni.org/isni/0000000120263295 | |
| 245 | 1 | 0 | |a Statistics and data visualization in climate science with R and Python / |c Samuel S. P. Shen, San Diego State University, Gerald R. North, Texas A&M University. |
| 264 | 1 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2023. | |
| 300 | |a xxii, 391 pages : |b illustrations (color) ; |c 26 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a volume |b nc |2 rdacarrier | ||
| 520 | |a "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"-- |c Provided by publisher. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 650 | 0 | |a Climatology |x Statistical methods. |0 http://id.loc.gov/authorities/subjects/sh2009120425 | |
| 650 | 0 | |a Climatology |x Data processing. | |
| 650 | 0 | |a Information visualization. |0 http://id.loc.gov/authorities/subjects/sh2002000243 | |
| 650 | 0 | |a R (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh2002004407 | |
| 650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Climatology |x Data processing. |2 fast | |
| 650 | 7 | |a Climatology |x Statistical methods. |2 fast | |
| 650 | 7 | |a Information visualization. |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 700 | 1 | |a North, Gerald R., |e author. |0 http://id.loc.gov/authorities/names/n88292321 |1 http://isni.org/isni/0000000116843844 | |
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| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Boulder Campus |c Earth Sciences & Map |d Earth Sciences & Map Library - Stacks |e QC874.5.S48 2023 |h Library of Congress classification |i book |m U183073981102 |n 1 |