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

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Pruscha, Helmut (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Subjects:
Statistics .
Climatology.
Mathematical statistics-Data processing.
Atmospheric science.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Climate Sciences.
Statistical Theory and Methods.
Statistics and Computing.
Atmospheric Science.
Online Access:Texto Completo
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.

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