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This book offers a panoramic view of recent advances in spatial complexity, in order to enhance our understanding of complex spatial networks by simplicity in terms of both the basic driving forces of systemic impacts and the modelling of such systems. Simple models mapping out the evolution of complex networks are undoubtedly a key issue in spatial economic research. In exploring this untrodden ground, this volume pursues new interdisciplinary pathways for theoretical, methodological and empirical analysis in the complex interconnected space-economy. It highlights 'evolutionary' directions…mehr
This book offers a panoramic view of recent advances in spatial complexity, in order to enhance our understanding of complex spatial networks by simplicity in terms of both the basic driving forces of systemic impacts and the modelling of such systems. Simple models mapping out the evolution of complex networks are undoubtedly a key issue in spatial economic research. In exploring this untrodden ground, this volume pursues new interdisciplinary pathways for theoretical, methodological and empirical analysis in the complex interconnected space-economy. It highlights 'evolutionary' directions and 'unifying' perspectives in this fascinating research field.
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Autorenporträt
Aura Reggiani, University of Bologna, Italy / Peter Nijkamp, Free University of Amsterdam, The Netherlands
Inhaltsangabe
Complexity, Evolution, and Simplicity in Space.- Simplicity in Complex Spatial Systems.- The "Thermodynamics" of the City.- Macro and Micro Dynamics of the City Size Distribution.- A Morphogenetic Perspective on Spatial Complexity.- Algorithmic Complexity and Spatial Simplicity.- Polyplexity.- Evolutionary Networks in a Socio-Economic Context.- Complexity, Evolution and Learning.- Homophily, Conformity, and Noise in the (Co-)Evolution of Complex Social Networks.- Complex Evolution and Learning.- Proximity, Social Capital and the Simon Model of Stochastic Growth.- Evolutionary and Preferential Attachment Models of Demand Growth.- Modelling the Economy as an Evolving Space of Flows.- Empirical Aspects of Network Complexity in the Space-Economy.- Effects of a Simple Mode Choice Model in a Large-Scale Agent-Based Transport Simulation.- Complex, Adaptive Systems, Through Time and Across Space.- Measuring and Visualizing Urban Network Dynamics.- Spatial Autocorrelation in Spatial Interaction.- Complex Networks Analysis of Commuting.- Spatial and Commuting Networks.- Epilogue.- From Complexity to Simplicity.
Complexity, Evolution, and Simplicity in Space.- Simplicity in Complex Spatial Systems.- The "Thermodynamics" of the City.- Macro and Micro Dynamics of the City Size Distribution.- A Morphogenetic Perspective on Spatial Complexity.- Algorithmic Complexity and Spatial Simplicity.- Polyplexity.- Evolutionary Networks in a Socio-Economic Context.- Complexity, Evolution and Learning.- Homophily, Conformity, and Noise in the (Co-)Evolution of Complex Social Networks.- Complex Evolution and Learning.- Proximity, Social Capital and the Simon Model of Stochastic Growth.- Evolutionary and Preferential Attachment Models of Demand Growth.- Modelling the Economy as an Evolving Space of Flows.- Empirical Aspects of Network Complexity in the Space-Economy.- Effects of a Simple Mode Choice Model in a Large-Scale Agent-Based Transport Simulation.- Complex, Adaptive Systems, Through Time and Across Space.- Measuring and Visualizing Urban Network Dynamics.- Spatial Autocorrelation in Spatial Interaction.- Complex Networks Analysis of Commuting.- Spatial and Commuting Networks.- Epilogue.- From Complexity to Simplicity.
Rezensionen
From the reviews:
"This volume continues the history of excellent work in the Advances in Spatial Science series by gathering a broad array of research that nonetheless focuses on complex spatial networks. Stylistically, the book is solid overall ... . The book is primarily of value to researchers who are interested in complex spatial networks as applied to a broad range of socioeconomic problems. It would also be suitable as an ancillary reading for a course in complexity or socioeconomic modeling." (Dudley B. Bonsal and Steven M. Manson, Journal of Regional Science, Vol. 51 (2), 2011)
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