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Book by Elsner James B Jagger Thomas H
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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.
Biografía del autor:
James B. Elsner is the Earl and Sophia Shaw Professor of Geography at Florida State University where he teaches applied spatial statistics and hurricane climatology. Dr. Elsner is President and CEO of Climatek; a company that develops software for hurricane-risk models. His research interests include the changing nature of hurricane risk. He has written more than 110 research articles and two books. Dr. Thomas Herbert Jagger is Vice President of Climatek and independent researcher. He has written more than 25 papers advancing the use of statistical analysis in weather and climate. As Vice president of Climatek he has incorporated Bayesian analysis and extreme value modeling into his research on hurricane climatology and hurricane risk analysis.
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- EditorialOUP USA
- Año de publicación2013
- ISBN 10 019982763X
- ISBN 13 9780199827633
- EncuadernaciónTapa dura
- Número de páginas390
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Descripción Hardcover. Condición: new. Hardcover. 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 willreproduce 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 bookis 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. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780199827633
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Hurricane Climatology A Modern Statistical Guide Using R
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Descripción Hardcover. Condición: new. Hardcover. 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 willreproduce 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 bookis 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. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780199827633
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