date: 2013-11-21T15:07:14Z pdf:PDFVersion: 1.5 pdf:docinfo:title: Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System xmp:CreatorTool: LaTeX with hyperref package access_permission:can_print_degraded: true subject: 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 complex system Earth. Specifically, we discuss two classes of methods: (i) entropies of different kinds (e.g., on the one hand classical Shannon and Rényi 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. dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System modified: 2013-11-21T15:07:14Z cp:subject: 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 complex system Earth. Specifically, we discuss two classes of methods: (i) entropies of different kinds (e.g., on the one hand classical Shannon and Rényi 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. pdf:docinfo:subject: 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 complex system Earth. Specifically, we discuss two classes of methods: (i) entropies of different kinds (e.g., on the one hand classical Shannon and Rényi 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. pdf:docinfo:creator: Georgios Balasis, Reik V. Donner, Stelios M. Potirakis, Jakob Runge, Constantinos Papadimitriou, Ioannis A. Daglis, Konstantinos Eftaxias, J¨urgen Kurths PTEX.Fullbanner: This is pdfTeX, Version 3.1415926-2.4-1.40.13 (TeX Live 2012/W32TeX) kpathsea version 6.1.0 meta:author: Georgios Balasis, Reik V. Donner, Stelios M. Potirakis, Jakob Runge, Constantinos Papadimitriou, Ioannis A. Daglis, Konstantinos Eftaxias, J¨urgen Kurths trapped: False meta:creation-date: 2013-11-07T05:37:43Z created: Thu Nov 07 06:37:43 CET 2013 access_permission:extract_for_accessibility: true Creation-Date: 2013-11-07T05:37:43Z Author: Georgios Balasis, Reik V. Donner, Stelios M. Potirakis, Jakob Runge, Constantinos Papadimitriou, Ioannis A. Daglis, Konstantinos Eftaxias, J¨urgen Kurths producer: pdfTeX-1.40.13 pdf:docinfo:producer: pdfTeX-1.40.13 dc:description: 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 complex system Earth. Specifically, we discuss two classes of methods: (i) entropies of different kinds (e.g., on the one hand classical Shannon and Rényi 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. Keywords: "entropy measures; symbolic dynamics; non-extensive statistical mechanics; causality; Earth sciences " access_permission:modify_annotations: true dc:creator: Georgios Balasis, Reik V. Donner, Stelios M. Potirakis, Jakob Runge, Constantinos Papadimitriou, Ioannis A. Daglis, Konstantinos Eftaxias, J¨urgen Kurths description: 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 complex system Earth. Specifically, we discuss two classes of methods: (i) entropies of different kinds (e.g., on the one hand classical Shannon and Rényi 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. dcterms:created: 2013-11-07T05:37:43Z Last-Modified: 2013-11-21T15:07:14Z dcterms:modified: 2013-11-21T15:07:14Z title: Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System xmpMM:DocumentID: uuid:4225d92c-b86c-430b-9b3d-08cb244ddd46 Last-Save-Date: 2013-11-21T15:07:14Z pdf:docinfo:keywords: "entropy measures; symbolic dynamics; non-extensive statistical mechanics; causality; Earth sciences " pdf:docinfo:modified: 2013-11-21T15:07:14Z meta:save-date: 2013-11-21T15:07:14Z pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.1415926-2.4-1.40.13 (TeX Live 2012/W32TeX) kpathsea version 6.1.0 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Georgios Balasis, Reik V. Donner, Stelios M. Potirakis, Jakob Runge, Constantinos Papadimitriou, Ioannis A. Daglis, Konstantinos Eftaxias, J¨urgen Kurths dc:subject: "entropy measures; symbolic dynamics; non-extensive statistical mechanics; causality; Earth sciences " access_permission:assemble_document: true xmpTPg:NPages: 46 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: "entropy measures; symbolic dynamics; non-extensive statistical mechanics; causality; Earth sciences " access_permission:can_modify: true pdf:docinfo:created: 2013-11-07T05:37:43Z