Table of contents

  1. Front Matter
  2. Christian Goltz
    Pages 3-164
  3. Back Matter

About this book

Introduction

This book deals with the application of fractal and nonlinear time-series analysis to seismicity and earthquakes within the framework of earthquake prediction research. Emphasis is on theoretical foundations as well as practical implementation and pitfalls to enable readers to conduct their own analyses. The theoretical parts include introductions to fractals and multifractals, the relation between fractal dimension and entropy, the Hurst phenomenon, basic ideas of low-dimensional chaotic dynamics and a roadmap of nonlinear time-series analysis. Practical implementation is discussed in each case and synthetic data sets are analyzed. Fractal methods are applied to landslide and seismicity patterns in space and time, nonlinear analysis is carried out for radon and strain data as well as earthquake intervals. Due to the comprehensive coverage of theoretical background and step-by-step applications, readers of all levels will benefit from this book.

Keywords

Earthquake prediction research aftershock carr chaos cluster analysis earthquake earthquake prediction entropy fractal analysis landslides nonlinear time series analysis research seismic

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0028315
  • Copyright Information Springer-Verlag 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64893-2
  • Online ISBN 978-3-540-68459-6
  • Series Print ISSN 0930-0317
  • Series Online ISSN 1613-2580
  • About this book