Facebook Pixel

Complexity and Spatial Networks

In Search of Simplicity
ISBN:
978-3-642-26914-1
Auflage:
2009
Verlag:
Springer Berlin
Land des Verlags:
Deutschland
Erscheinungsdatum:
14.03.2012
Reihe:
Advances in Spatial Science
Format:
Softcover
Seitenanzahl:
284
Ladenpreis
109,99 EUR (inkl. MwSt. zzgl. Versand)
Lieferung in 5-10 Werktagen Versandkostenfrei ab 40 Euro in Österreich
Hinweis: Da dieses Werk nicht aus Österreich stammt, ist es wahrscheinlich, dass es nicht die österreichische Rechtslage enthält. Bitte berücksichtigen Sie dies bei ihrem Kauf.
Complex systems analysis has become a fascinating topic in modern research on non-linear dynamics, not only in the physical sciences but also in the life sciences and the social sciences. After the era of bifurcation theory, chaos theory, syn- getics, resilience analysis, network dynamics and evolutionary thinking, currently we observe an increasing interest in critical transitions of dynamic real-world systems in many disciplines, such as demography, biology, psychology, economics, earth sciences, geology, seismology, medical sciences, and so on. The relevance of this approach is clearly re?ected in such phenomena as traf?c congestion, ?nancial crisis, ethnic con?icts, eco-system breakdown, health failures, etc. This has prompted a world-wide interest in complex systems. Geographical space is one of the playgrounds for complex dynamics, as is witnessed by population movements, transport ?ows, retail developments, urban expansion, lowland ?ooding and so forth. All such dynamic phenomena have one feature in common: the low predictability of uncertain interrelated events occurring at different interconnected spatio-temporal scale levels and often originating from different disciplinary backgrounds. The study of the associated non-linear (fast and slow) dynamic transition paths calls for a joint research effort of scientists from different disciplines in order to understand the nature, the roots and the con- quences of unexpected or unpredictable changes in complex spatial systems.