Hurricane Climatology

A Modern Statistical Guide Using R

Nonfiction, Science & Nature, Mathematics, Statistics, Science, Biological Sciences, Environmental Science
Cover of the book Hurricane Climatology by James B. Elsner, Thomas H. Jagger, Oxford University Press
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Author: James B. Elsner, Thomas H. Jagger ISBN: 9780199324064
Publisher: Oxford University Press Publication: March 4, 2013
Imprint: Oxford University Press Language: English
Author: James B. Elsner, Thomas H. Jagger
ISBN: 9780199324064
Publisher: Oxford University Press
Publication: March 4, 2013
Imprint: Oxford University Press
Language: English

Hurricanes are nature's most destructive storms and they are becoming more powerful as the globe warms. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. It uses the open-source and now widely used R software for statistical computing to create a tutorial-style manual for independent study, review, and reference. The text is written around the code that when copied will reproduce the graphs, tables, and maps. The approach is different from other books that use R. It focuses on a single topic and explains how to make use of R to better understand the topic. The book is organized into two parts, the first of which provides material on software, statistics, and data. The second part presents methods and models used in hurricane climate research.

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Hurricanes are nature's most destructive storms and they are becoming more powerful as the globe warms. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. It uses the open-source and now widely used R software for statistical computing to create a tutorial-style manual for independent study, review, and reference. The text is written around the code that when copied will reproduce the graphs, tables, and maps. The approach is different from other books that use R. It focuses on a single topic and explains how to make use of R to better understand the topic. The book is organized into two parts, the first of which provides material on software, statistics, and data. The second part presents methods and models used in hurricane climate research.

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