Largest Lyapunov Exponent Application to the Pollen Time-Series and Related Meteorological Time-Series

  1. F. Martínez
  2. R. García
  3. M. Munuera
  4. A. Guillamón
  5. I. Rodríguez
Libro:
International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2004)

Editorial: CRC Press

ISBN: 9780429081385

Año de publicación: 2004

Páginas: 343-346

Tipo: Capítulo de Libro

GOOGLE SCHOLAR

Resumen

Pollen time-series can be considered as being generated by biological system with inherently nonlinear dynamics. The purpose of this paper is to characterize pollen and related time-series using the largest Lyapunov exponent. We used the method suggested by Rosenstein et al. for calculating it and we introduce new tools to a previous time-series segmentation and to search the linear region. In our research, they were computed in MATLAB®, over data obtained in Murcia, Spain. The results prove the existence of chaos in the pollen time-series and related meteorological time-series and the utility of largest Lyapunov exponent to distinguish and quantify chaotic events in biological time-series.