Statistical Analysis of Climate Series Analyzing, Plotting, Modeling, and Predicting with R /

• Main Author: Pruscha, Helmut (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Subjects: Statistics.; Climatology.; Atmospheric sciences.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Atmospheric Sciences.

The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed. The methodical tools are t...

Table of Contents:

• Climate series
• Trend and Season
• Correlation: From Yearly to Daily Data
• Model and Prediction: Yearly Data
• Model and Prediction: Monthly Data
• Analysis of Daily Data
• Spectral Analysis
• Complements
• Appendices: A: Excerpt from Climate Data Sets
• B: Some Aspects of Time Series
• C:Categorical Data Analysis- References
• Index.