Statistical mechanics and information-theoretic perspectives on complexity in the Earth system

dc.contributor.author	Μπαλάσης, Γεωργία	el
dc.contributor.author	Donner, Reik	en
dc.contributor.author	Ποτηράκης, Στέλιος	el
dc.contributor.author	Runge, Jakob	en
dc.contributor.author	Παπαδημητρίου, Κωνσταντίνος	el
dc.date.accessioned	2015-06-07T22:13:02Z
dc.date.available	2015-06-07T22:13:02Z
dc.date.issued	2015-06-08
dc.identifier.uri	http://hdl.handle.net/11400/15576
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.mdpi.com	en
dc.subject	Earth sciences
dc.subject	Non-extensive statistical mechanics
dc.subject	Επιστήμες της γης
dc.subject	Μη εκτεταμένη στατιστική μηχανική
dc.title	Statistical mechanics and information-theoretic perspectives on complexity in the Earth system	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Astrophysics
heal.classification	Τεχνολογία
heal.classification	Αστροφυσική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85009032
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Αστροφυσική
heal.contributorName	Δαγλής, Ιωάννης	el
heal.contributorName	Ευταξίας, Κωνσταντίνος	el
heal.contributorName	Kurths, Jurgen	en
heal.identifier.secondary	DOI: 10.3390/e15114844
heal.language	en
heal.access	campus
heal.publicationDate	2013
heal.bibliographicCitation	Balasis, G., Donner, R., Potirakis, S., Runge, J., Papadimitriou, C. et al. (2013) Statistical mechanics and information-theoretic perspectives on complexity in the Earth system. "Entropy", 15 (11), p.4844-4888	en
heal.abstract	This review provides a summary of methods originated in (non-equilibrium) statistical mechanics and information theory, which have recently found successful applications to quantitatively studying complexity in various components of the complexsystem Earth. Specifically, we discuss two classes of methods: (i) entropies of different kinds (e.g., on the one hand classical Shannon and Ŕenyi entropies, as well as non-extensive Tsallis entropy based on symbolic dynamics techniques and, on the other hand, approximate entropy, sample entropy and fuzzy entropy); and (ii) measures of statistical interdependence and causality (e.g., mutual information and generalizations thereof, transfer entropy, momentary information transfer). We review a number of applications and case studies utilizing the above-mentioned methodological approaches for studying contemporary problems in some exemplary fields of the Earth sciences, highlighting the potentials of different techniques.	en
heal.journalName	Entropy	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true