Verfügbarkeit: The science of disasters

The science of disasters: climate disruptions, heart attacks, and market crashes

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bunde, Armin 1947- (VerfasserIn, HerausgeberIn), Kropp, Jürgen 1959- (VerfasserIn, HerausgeberIn), Schellnhuber, Hans-Joachim 1950- (VerfasserIn, HerausgeberIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Berlin Springer 2002
Schriftenreihe:	Physics and astronomy online library
Schlagworte:	Catastrophes Climatologie Mecânica estatística Physique statistique Systèmes biologiques Théories non linéaires Économie politique Wirtschaft Biological systems Climatology Disasters Disasters > statistics & numerical data Economics Factor Analysis, Statistical Forecasting > methods Models, Theoretical Nonlinear theories Statistical physics Katastrophentheorie Katastrophe Nichtlineare Dynamik Komplexes System Aufsatzsammlung
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	XX, 453 Seiten Illustrationen, Diagramme, Karten
ISBN:	9783642625312 9783540413240 3540413243

Internformat

MARC


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245	1	0	\|a The science of disasters \|b climate disruptions, heart attacks, and market crashes \|c Armin Bunde, Jürgen Kropp, Hans Joachim Schellnhuber
264		1	\|a Berlin \|b Springer \|c 2002
300			\|a XX, 453 Seiten \|b Illustrationen, Diagramme, Karten
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650		4	\|a Catastrophes
650		4	\|a Climatologie
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650		4	\|a Physique statistique
650		4	\|a Systèmes biologiques
650		4	\|a Théories non linéaires
650		4	\|a Économie politique
650		4	\|a Wirtschaft
650		4	\|a Biological systems
650		4	\|a Climatology
650		4	\|a Disasters
650		4	\|a Disasters \|x statistics & numerical data
650		4	\|a Economics
650		4	\|a Factor Analysis, Statistical
650		4	\|a Forecasting \|x methods
650		4	\|a Models, Theoretical
650		4	\|a Nonlinear theories
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999			\|a oai:aleph.bib-bvb.de:BVB01-009689393

Datensatz im Suchindex

_version_	1804129011629031424
adam_text	CONTENTS PART I. GENERAL 1. ENTROPY, COMPLEXITY, PREDICTABILITY, AND DATA ANALYSIS OF TIME SERIES AND LETTER SEQUENCES .................................. 3 BY W. EBELING, L. MOLGEDEY, J. KURTHS, AND U. SCHWARZ (WITH 9FIGURES) 1.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 CONDITIONAL ENTROPIES AND PREDICTABILITY . . . . . . . . . . . . . . . . . . . . 4 1.3 CONCEPTS OF COMPLEXITY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4 APPLICATIONS TO BIOSEQUENCES AND OTHER INFORMATION CARRIERS . . 10 1.5 APPLICATIONS OF ENTROPY CONCEPTS TO DATA ANALYSIS . . . . . . . . . . . 12 1.6 APPLICATIONS OF COMPLEXITY CONCEPTS . . . . . . . . . . . . . . . . . . . . . . . 16 1.7 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2. WAVELET BASED MULTIFRACTAL FORMALISM: APPLICATIONS TO DNA SEQUENCES, SATELLITE IMAGES OF THE CLOUD STRUCTURE, AND STOCK MARKET DATA .. 27 BY A. ARNEODO, B. AUDIT, N. DECOSTER, J.-F. MUZY, AND C. VAILLANT (WITH 22 FIGURES) 2.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.2 THE WAVELET TRANSFORM MODULUS MAXIMA METHOD FOR THE MULTIFRACTAL ANALYSIS OF 1D SIGNALS . . . . . . . . . . . . . . . . . . . 32 2.3 WAVELET BASED FRACTAL ANALYSIS OF DNA SEQUENCES . . . . . . . . . . . 46 2.4 THE 2D WAVELET TRANSFORM MODULUS MAXIMA METHOD FOR THE MULTIFRACTAL ANALYSIS OF ROUGH SURFACES. . . . . . . . . . . . . . . 59 XII CONTENTS 2.5 APPLICATION OF THE 2D WTMM METHOD TO HIGH-RESOLUTION SATELLITE IMAGES OF CLOUD STRUCTURE . . . . . . . . 75 2.6 BEYOND MULTIFRACTAL ANALYSIS WITH WAVELET-BASED SPACE-SCALE CORRELATION FUNCTIONS: REVEALING A CAUSAL INFORMATION CASCADE IN STOCK MARKET DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 2.7 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 4 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5 PART II. CLIMATE SYSTEMS 3. SPACE-TIME VARIABILITY OF THE EUROPEAN CLIMATE .. 105 BY K. FRAEDRICH AND C.-D. SCH¨ ONWIESE (WITH 16 FIGURES) 3.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 3.2 TIME AND SPACE SCALES: PEAKS, GAPS, AND SCALING . . . . . . . . . . . . . 106 3.3 EUROPES CLIMATE: STORM TRACKS, GROSSWETTERLAGEN, AND CLIMATE ZONES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 3.4 CLIMATE TRENDS: EUROPE AT THE END OF THE TWENTIETH CENTURY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 3.5 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4. IS CLIMATE PREDICTABLE? ............................... 141 BY K. HASSELMANN (WITH 17 FIGURES) 4.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 4.2 WEATHER AND CLIMATE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 4.3 CLIMATE PREDICTION OF THE FIRST KIND: ENSO . . . . . . . . . . . . . . . . . 144 4.4 STOCHASTIC CLIMATE MODELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 4.5 CLIMATE PREDICTIONS OF THE SECOND KIND: GLOBAL WARMING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 4.6 LINEAR RESPONSE RELATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156 4.7 DETECTION AND ATTRIBUTION OF CLIMATE CHANGE . . . . . . . . . . . . . . . . 159 4.8 NONLINEAR SIGNATURES IN LINEAR RESPONSE . . . . . . . . . . . . . . . . . . . . 163 4.9 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 CONTENTS XIII 5. ATMOSPHERIC PERSISTENCE ANALYSIS: NOVEL APPROACHES AND APPLICATIONS ................. 171 BY A. BUNDE, S. HAVLIN, E. KOSCIELNY-BUNDE, AND H.J. SCHELLNHUBER (WITH 7 FIGURES) 5.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 5.2 ANALYSIS OF METEOROLOGICAL METHODS . . . . . . . . . . . . . . . . . . . . . . . . . 173 5.3 THE MODELING APPROACH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175 5.4 RECORD ANALYSIS: DETRENDING TECHNIQUES . . . . . . . . . . . . . . . . . . . . 176 5.5 ANALYSIS OF TEMPERATURE RECORDS . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 5.6 ANALYSIS OF SIMULATED TEMPERATURE RECORDS . . . . . . . . . . . . . . . . . 184 5.7 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 6. ASSESSMENT AND MANAGEMENT OF CRITICAL EVENTS: THE BREAKDOWN OF MARINE FISHERIES AND THE NORTH ATLANTIC THERMOHALINE CIRCULATION 193 BY J. KROPP, K. ZICKFELD, AND K. EISENACK (WITH 12 FIGURES) 6.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3 6.2 THE ROLE OF MARKET MECHANISMS IN MARINE RESOURCE EXPLOITATION . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5 6.3 COULD EUROPES HEATING SYSTEM BE THREATENED BY HUMAN INTERFERENCE? . . . . . . . . . . . . . . . . . . . . . 204 6.4 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214 PART III. BIODYNAMICS 7. FRACTAL AND MULTIFRACTAL APPROACHES IN PHYSIOLOGY ............................................ 219 BY P.CH. IVANOV, A.L. GOLDBERGER, AND H.E. STANLEY (WITH 22 FIGURES) 7.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219 7.2 LIMITATIONS OF TRADITIONAL TECHNIQUES . . . . . . . . . . . . . . . . . . . . . . . 222 7.3 MONOFRACTAL ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227 7.4 MULTIFRACTAL ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240 7.5 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 XIV CONTENTS 8. PHYSIOLOGICAL RELEVANCE OF SCALING OF HEART PHENOMENA ................................... 259 BY L.S. LIEBOVITCH, T. PENZEL, AND J.W. KANTELHARDT (WITH 11 FIGURES) 8.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 8.2 METHODS OF SCALING ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261 8.3 HEART RATE DURING SLEEP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 8.4 TIMING BETWEEN ARRHYTHMIC EVENTS . . . . . . . . . . . . . . . . . . . . . . . . 277 8.5 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280 9. LOCAL SCALING PROPERTIES FOR DIAGNOSTIC PURPOSES . 283 BY W. BUNK, F. JAMITZKY, R. POMPL, C. R¨ ATH, AND G. MORFILL (WITH 16 FIGURES) 9 .1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283 9 .2 REDUCTIONISM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 9.3 SCALING INDEX METHOD. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286 9 .4 APPLICATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 9 .5 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 10. UNSTABLE PERIODIC ORBITS AND STOCHASTIC SYNCHRONIZATION IN SENSORY BIOLOGY ..................................... 311 BY F. MOSS AND H. BRAUN (WITH 10 FIGURES) 10.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311 10.2 UNSTABLE PERIODIC ORBITS IN PHYSICAL AND BIOLOGICAL SYSTEMS . . . 319 10.3 SYNCHRONIZATION OF STABLE PERIODIC ORBITS IN THE PADDLEFISH ELECTRORECEPTOR WITH AN EXTERNAL PERIODIC STIMULUS . . . . . . . . . . . . . . . . . . . . . . . . . 324 10.4 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11. CROWD DISASTERS AND SIMULATION OF PANIC SITUATIONS ..................................... 331 BY D. HELBING, I.J. FARKAS, AND T. VICSEK (WITH 9FIGURES) 11.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 11.2 OBSERVATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335 CONTENTS XV 11.3 GENERALIZED FORCE MODEL OF PEDESTRIAN MOTION . . . . . . . . . . . . . . . 336 11.4 SIMULATION RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 11.5 CONCLUSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349 PART IV. NONLINEAR ECONOMICS 12. INVESTIGATIONS OF FINANCIAL MARKETS USING STATISTICAL PHYSICS METHODS ................... 353 BY R.N. MANTEGNA AND H.E. STANLEY (WITH 6 FIGURES) 12.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 12.2 ECONOPHYSICS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355 12.3 AN HISTORICAL NOTE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 12.4 KEY CONCEPTS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361 12.5 IDEALIZED SYSTEMS IN PHYSICS AND FINANCE. . . . . . . . . . . . . . . . . . . . 363 12.6 EMPIRICAL ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363 12.7 COLLECTIVE DYNAMICS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367 12.8 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 13. MARKET FLUCTUATIONS I: SCALING, MULTISCALING, AND THEIR POSSIBLE ORIGINS ........... 373 BY F. LUX AND M. AUSLOOS (WITH 5 FIGURES) 13.1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 13.2 SCALING IN THE PROBABILITY DISTRIBUTION OF RETURNS . . . . . . . . . . . . 374 13.3 TEMPORAL DEPENDENCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 13.4 MULTISCALING, MULTIFRACTALITY, AND TURBULENCE IN FINANCIAL MARKETS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 3 13.5 EXPLANATIONS OF FINANCIAL SCALING LAWS . . . . . . . . . . . . . . . . . . . . . 39 7 13.6 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406 14. MARKET FLUCTUATIONS II: MULTIPLICATIVE AND PERCOLATION MODELS, SIZE EFFECTS, AND PREDICTIONS ......................................... 411 BY D. SORNETTE, D. STAUFFER, AND H. TAKAYASU (WITH 7 FIGURES) 14.1 STYLIZED FACTS OF FINANCIAL TIME SERIES . . . . . . . . . . . . . . . . . . . . . . 411 14.2 FLUCTUATIONS OF DEMAND AND SUPPLY IN OPEN MARKETS . . . . . . . . . 415 XVI CONTENTS 14.3 PERCOLATION MODELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421 14.4 CRITICAL CRASHES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427 14.5 CONCLUSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433 GLOSSARY ..................................................... 437 SUBJECT INDEX ............................................... 441
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discipline	Allgemeines Physik Informatik Mathematik Geographie
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id	DE-604.BV014139989
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indexdate	2024-07-09T18:58:21Z
institution	BVB
isbn	9783642625312 9783540413240 3540413243
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-009689393
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physical	XX, 453 Seiten Illustrationen, Diagramme, Karten
publishDate	2002
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publisher	Springer
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series2	Physics and astronomy online library
spelling	The science of disasters climate disruptions, heart attacks, and market crashes Armin Bunde, Jürgen Kropp, Hans Joachim Schellnhuber Berlin Springer 2002 XX, 453 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Physics and astronomy online library Catastrophes Climatologie Mecânica estatística larpcal Physique statistique Systèmes biologiques Théories non linéaires Économie politique Wirtschaft Biological systems Climatology Disasters Disasters statistics & numerical data Economics Factor Analysis, Statistical Forecasting methods Models, Theoretical Nonlinear theories Statistical physics Katastrophentheorie (DE-588)4029930-2 gnd rswk-swf Katastrophe (DE-588)4029929-6 gnd rswk-swf Nichtlineare Dynamik (DE-588)4126141-0 gnd rswk-swf Komplexes System (DE-588)4114261-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Katastrophentheorie (DE-588)4029930-2 s DE-604 Komplexes System (DE-588)4114261-5 s Nichtlineare Dynamik (DE-588)4126141-0 s Katastrophe (DE-588)4029929-6 s Bunde, Armin 1947- (DE-588)1075773032 edt aut Kropp, Jürgen 1959- (DE-588)122190866 edt aut Schellnhuber, Hans-Joachim 1950- (DE-588)10966387X edt aut Erscheint auch als Online-Ausgabe 978-3-642-56257-0 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009689393&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Bunde, Armin 1947- Kropp, Jürgen 1959- Schellnhuber, Hans-Joachim 1950- The science of disasters climate disruptions, heart attacks, and market crashes Catastrophes Climatologie Mecânica estatística larpcal Physique statistique Systèmes biologiques Théories non linéaires Économie politique Wirtschaft Biological systems Climatology Disasters Disasters statistics & numerical data Economics Factor Analysis, Statistical Forecasting methods Models, Theoretical Nonlinear theories Statistical physics Katastrophentheorie (DE-588)4029930-2 gnd Katastrophe (DE-588)4029929-6 gnd Nichtlineare Dynamik (DE-588)4126141-0 gnd Komplexes System (DE-588)4114261-5 gnd
subject_GND	(DE-588)4029930-2 (DE-588)4029929-6 (DE-588)4126141-0 (DE-588)4114261-5 (DE-588)4143413-4
title	The science of disasters climate disruptions, heart attacks, and market crashes
title_auth	The science of disasters climate disruptions, heart attacks, and market crashes
title_exact_search	The science of disasters climate disruptions, heart attacks, and market crashes
title_full	The science of disasters climate disruptions, heart attacks, and market crashes Armin Bunde, Jürgen Kropp, Hans Joachim Schellnhuber
title_fullStr	The science of disasters climate disruptions, heart attacks, and market crashes Armin Bunde, Jürgen Kropp, Hans Joachim Schellnhuber
title_full_unstemmed	The science of disasters climate disruptions, heart attacks, and market crashes Armin Bunde, Jürgen Kropp, Hans Joachim Schellnhuber
title_short	The science of disasters
title_sort	the science of disasters climate disruptions heart attacks and market crashes
title_sub	climate disruptions, heart attacks, and market crashes
topic	Catastrophes Climatologie Mecânica estatística larpcal Physique statistique Systèmes biologiques Théories non linéaires Économie politique Wirtschaft Biological systems Climatology Disasters Disasters statistics & numerical data Economics Factor Analysis, Statistical Forecasting methods Models, Theoretical Nonlinear theories Statistical physics Katastrophentheorie (DE-588)4029930-2 gnd Katastrophe (DE-588)4029929-6 gnd Nichtlineare Dynamik (DE-588)4126141-0 gnd Komplexes System (DE-588)4114261-5 gnd
topic_facet	Catastrophes Climatologie Mecânica estatística Physique statistique Systèmes biologiques Théories non linéaires Économie politique Wirtschaft Biological systems Climatology Disasters Disasters statistics & numerical data Economics Factor Analysis, Statistical Forecasting methods Models, Theoretical Nonlinear theories Statistical physics Katastrophentheorie Katastrophe Nichtlineare Dynamik Komplexes System Aufsatzsammlung
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009689393&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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