Skip to main content
SpringerLink
Log in
Book cover

Natural Time Analysis: The New View of Time

Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series

  • Book
  • © 2011

Overview

Authors:
  1. Panayiotis A. Varotsos

    1. University of Athems, Athens, Greece

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Nicholas V. Sarlis

    1. , Physics, Athens University, Athens, Greece

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Efthimios S. Skordas

    1. , Physics, Athens University, Athens, Greece

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Provides up-to-date knowledge on identifying approaches at critical point
  • Clearly presents the natural time analysis for complex time-series
  • Includes useful applications of natural time to seismicity, earthquake prediction
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Praxis Books (PRAXIS)

Part of the book sub series: Geophysical Sciences (GEOPHYS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Seismic Electric Signals

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Introduction to Seismic Electric Signals

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 3-115

  3. Natural Time Foundations

    1. Front Matter

      Pages 117-117
      Download chapter PDF

    2. Natural Time. Background

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 119-157

    3. Entropy in Natural Time

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 159-187

  4. Natural Time Applications

    1. Front Matter

      Pages 189-189
      Download chapter PDF

    2. Natural Time Analysis of Seismic Electric Signals

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 191-235

    3. Natural Time Investigation of the Effect of Significant Data Loss on Identifying Seismic Electric Signals

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 237-245

    4. Natural Time Analysis of Seismicity

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 247-289

    5. Identifying the Occurrence Time of an Impending Mainshock

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 291-339

    6. Natural Time Analysis of Dynamical Models

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 341-380

    7. Natural Time Analysis of Electrocardiograms

      • Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas
      Pages 381-435

  5. Back Matter

    Pages 437-449
    Download chapter PDF
Back to top

Keywords

About this book

This book deals with the theory and the applications of a new time domain, termed natural time domain, that has been forwarded by the authors almost a decade ago (P.A. Varotsos, N.V. Sarlis and E.S. Skordas, Practica of Athens Academy 76, 294-321, 2001; Physical Review E 66, 011902, 2002). In particular, it has been found that novel dynamical features hidden behind time series in complex systems can emerge upon analyzing them in this new time domain, which conforms to the desire to reduce uncertainty and extract signal information as much as possible. The analysis in natural time enables the study of the dynamical evolution of a complex system and identifies when the system enters a critical stage. Hence, natural time plays a key role in predicting impending catastrophic events in general. Relevant examples of data analysis in this new time domain have been published during the last decade in a large variety of fields, e.g., Earth Sciences, Biology and Physics. The book explains in detail a series of such examples including the identification of the sudden cardiac death risk in Cardiology, the recognition of electric signals that precede earthquakes, the determination of the time of an impending major mainshock in Seismology, and the analysis of the avalanches of the penetration of magnetic flux into thin films of type II superconductors in Condensed Matter Physics. In general, this book is concerned with the time-series analysis of signals emitted from complex systems by means of the new time domain and provides advanced students and research workers in diverse fields with a sound grounding in the fundamentals of current research work on detecting (long-range) correlations in complex time series. Furthermore, the modern techniques of Statistical Physics in time series analysis, for example Hurst analysis, the detrended fluctuation analysis, the wavelet transform etc., are presented along with their advantages when natural time domain is employed.

Authors and Affiliations

  • University of Athems, Athens, Greece

    Panayiotis A. Varotsos

  • , Physics, Athens University, Athens, Greece

    Nicholas V. Sarlis, Efthimios S. Skordas

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation