Result: Comparison of recurrence quantification methods for the analysis of temporal and spatial chaos

Title:
Comparison of recurrence quantification methods for the analysis of temporal and spatial chaos
Source:
Mathematical Methods and Modelling of Biophysical PhenomenaMathematical and computer modelling. 53(7-8):1535-1545
Publisher Information:
Kidlington: Elsevier, 2011.
Publication Year:
2011
Physical Description:
print, 43 ref
Original Material:
INIST-CNRS
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Dipartimento di Ingegneria dell'Informazione and Centro per lo Studio dei Sistemi Complessi, Università di Siena, Via Roma, 56, 53100 - Siena, Italy
ISSN:
0895-7177
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.23973878
Database:
PASCAL Archive

Further Information

A comparative study of the recurrence properties of time series and two-dimensional spatial data is performed by means of Recurrence Quantification Analysis. The recent extension to distributed data of methods based on recurrences reveals new insights improving the performances of the approach for the analysis of complex spatial patterns. Indeed, the measures determinism and entropy provide significant information about the small and large scale characterization of the patterns allowing for a better connection to the physical properties of the spatial system under investigation.