Descrizione
This volume delves into the complex world of time series analysis with a particular focus on its applications within geophysical systems. It explores the methodologies and mathematical frameworks that underpin the behavior of temporal data, particularly as it relates to earth sciences. By presenting a blend of theoretical foundations and practical applications, the authors guide readers through the intricacies of analyzing time-dependent phenomena, illuminating the impact of environmental changes on geophysical data series.
Throughout the chapters, important techniques such as statistical modeling, forecasting, and data interpretation are thoroughly examined. Readers can expect to encounter a rich discussion of case studies and theoretical insights that illustrate how time series analysis can contribute to our understanding of dynamic geophysical processes. This work serves as both a reference for researchers and a learning tool for those interested in the intersection of mathematics and environmental science, offering valuable insights into how data trends may inform predictions about the earth’s behavior.
Throughout the chapters, important techniques such as statistical modeling, forecasting, and data interpretation are thoroughly examined. Readers can expect to encounter a rich discussion of case studies and theoretical insights that illustrate how time series analysis can contribute to our understanding of dynamic geophysical processes. This work serves as both a reference for researchers and a learning tool for those interested in the intersection of mathematics and environmental science, offering valuable insights into how data trends may inform predictions about the earth’s behavior.
Dettagli del libro
Formato
Brossura
Pagine
407 pagine
Lingua
Inglese
Pubblicato
set 16, 2011
Editore
Springer
Edizione
2004
Edizioni
2 edizioni
ISBN-10
1461277353
ISBN-13
9781461277354