Skip to main content
Log in

From Strange Attractors to Real-World Data: Evaluating a Bedform Model by Measuring the Distance Between State-Space Plots

  • Published:
Mathematical Geology Aims and scope Submit manuscript

Abstract

A new nonlinear data-analysis technique compares the typical sequences in different time or spatial series. The method quantitatively compares delay-coordinate embedded state-space plots by treating them plots as probability distributions. Thus its application is not limited to data generated by deterministic systems, and does not require knowledge of a system's dimension. In a preliminary application, comparing state-space plots of natural and model-generated eolian ripples suggests that the interactions in them have similarities with those in nature, and that this method can be of use as an additional model evaluation tool.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  • Anderson, R., 1990, Eolian ripples as examples of self-organization in geomorphological systems: Earth Sci. Reviews, v. 28, p. 77–96.

    Google Scholar 

  • Boffetta, G., Crisanti, A., Paparella, F., Provenzale, A., and Vulpiani, A., 1998, Slow and fast dynamics in coupled systems: A time series analysis view: Phys D, v. 116, p. 301–312.

    Google Scholar 

  • Forrest, S. B., and Haff, P. K., 1992, Mechanics of wind ripple stratigraphy: Science, v. 255, p. 1240–1243.

    Google Scholar 

  • Landry, W., and Werner, B. T., 1994, Computer simulations of self-organized wind ripple patterns: Phys D, v. 77, p. 238–260.

    Google Scholar 

  • Moeckel, R., and Murray, A. B., 1997, Time series metrics: Phys D, in press. Murray, A. B., and Paola, C., 1996, A new quantitative test of geomorphic models, applied to a model of braided streams: Water Resour. Res., v. 32, p. 2579-2587.

    Google Scholar 

  • Paparella, F., Provenzale, A., Smith, L. A., Taricco, C., and Vio, R., 1997, Local random analogue prediction of nonlinear processes: Physics Letters A, v. 235, p. 233–240.

    Google Scholar 

  • Provenzale, A., Smith, L. A., Vio, R., and Murante, G., 1992, Distinguishing between low-dimensional dynamics and randomness in measured time series: Phys D, v. 58, p. 31–49.

    Google Scholar 

  • Provenzale, A., Vio, R., and Crisanti, A., 1994, Luminosity variations of 3C 345: Is there any evidence of low-dimensional chaos?: The Astrophysical Journal, v. 428, p. 591–598.

    Google Scholar 

  • Sapozhnikov, V. B., Murray, A. B., Paola, C., and Foufoula-Georgiou, E., 1998, Validation of braided-stream models: Spatial state-space plots, self-affine scaling, and island shapes: Water Resour. Res, v. 34, p. 2353–2364.

    Google Scholar 

  • Sauer, T., York, J. A., and Casdagli, M., 1991, Embedology: J. Stat. Phys., v. 65, p. 579–616.

    Google Scholar 

  • Stam, C. J., Pijn, J. P. M., and Pritchard, W. S., 1998, Reliable detection of nonlinearity in experimental time series with strong periodic components: Phys D, v. 112, p. 361–380.

    Google Scholar 

  • Sugihara, G., 1994, Nonlinear forecasting for the classification of natural time series: Phil. Trans. R. Soc. Lond. A, v. 348, p. 477–495.

    Google Scholar 

  • Takens, F., 1981, Detecting strange attractors on turbulence, in Young, D. A. R. a. L. S., ed., Dynamical Systems and Turbulence, Volume Lecture Notes in Mathematics, 898: Berlin, Springer-Verlag, p. 366–381.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Murray, A.B. From Strange Attractors to Real-World Data: Evaluating a Bedform Model by Measuring the Distance Between State-Space Plots. Mathematical Geology 33, 293–300 (2001). https://doi.org/10.1023/A:1007634122624

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1007634122624

Navigation