Logo - springer
Slogan - springer

Physics - Statistical Physics & Dynamical Systems | Recurrence Quantification Analysis - Theory and Best Practices

Recurrence Quantification Analysis

Theory and Best Practices

Webber, Jr., Charles L., Marwan, Norbert (Eds.)

2015, XIV, 421 p. 210 illus., 107 illus. in color.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-319-07155-8

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-319-07154-1

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Edited and Authored by leading researchers in the field
  • Introduces and investigates modern applications in detail
  • Addresses an interdisciplinary readership

The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field.  Over the past decades recurrence plots have proven to be valuable data visualization and analysis tools in the theoretical study of complex, time-varying dynamical systems as well as in various applications in biology, neuroscience, kinesiology, psychology, physiology, engineering, physics, geosciences, linguistics, finance, economics, and other disciplines.  

This multi-authored book intends to comprehensively introduce and showcase recent advances as well as established best practices concerning both theoretical and practical aspects of recurrence plot based analysis.  Edited and authored by leading researcher in the field, the various chapters address an interdisciplinary readership, ranging from theoretical physicists to application-oriented scientists in all data-providing disciplines.

Content Level » Research

Keywords » Analysis of Recurrences - Complex Systems - Dynamical Patterns in Seismology - Long Time-Scale Recurrences in Ecology - Mathematical Analysis of Time-varying - Nonlinear Recurrence Pattern - Phase Space Reconstruction - Recurrence Analysis and Quantification - Recurrences in Dynamical Systems - System Trajectories

Related subjects » Applications - Biophysics & Biological Physics - Complexity - Earth System Sciences - Mechanics - Statistical Physics & Dynamical Systems

Table of contents 

Preface.- Mathematical and Computational Foundations of Recurrence.- Estimating Kolmogorov Entropy from Recurrence Plots.-Identifying Coupling Directions by Recurrences.- Complex Network Analysis of Recurrences.- Time Distortions and Other Oddities.- Dynamic Coupling between Respiratry and Cardiovascular System.- Application of Recurrence Quantification to the Analysis of Brain Electrical Activity.- Otoacoustic Emmission in Hearing Research.- Vibration Analysis in Cutting Materials.- Dynamical Patterns in Seismology.- Long Time-Scale Recurrences in Ecology: Detecting Relationships between Climate Dynamics and Biodiversity along a Latitudinal Gradient.- Recurrence Quantification and Recurrence Network Analysis of Global Photosynthetic Activity.- Recurrence Analysis Applications to Short-Term Road Traffic.- Interpersonal Couplings in Human Interactions.     

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Nonlinear Dynamics.