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Agent-Based Models of Geographical Systems

  • Book
  • © 2012

Overview

  • The only book to deal specifically with ABM and geographical systems
  • A comprehensive set of papers on background, theory, technical issues and applications of ABMs
  • Presents a thorough background to the premise of ABM
  • Discusses important technical issues such as how to handle errors, validate and visualise ABMs

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Table of contents (37 chapters)

  1. Computational Modelling: Techniques for Simulating Geographical Systems

  2. Computational Modelling: Techniques for Modelling Geographical Systems

  3. Principles and Concepts of Agent-Based Modelling

  4. Methods, Techniques and Tools for the Design and Construction of Agent-Based Models

  5. Methods, Techniques and Considerations when Creating Agent-Based Models (Technical Issues)

Keywords

About this book

This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area.  Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs.  With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context.

 

This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.

Reviews

From the reviews:

“This edited book provides a comprehensive overview of the emerging area of ABM. Together, the chapters provide a rich source of bibliographic references, detailed illustrations to support visual understanding, and a logical presentation of the science behind ABM. … This book will be an essential reference text for academics, students, and decision makers who design and interpret spatial models to understand geographical processes.” (Suzana Dragićević, Environment and Planning B: Planning and Design, Vol. 40, 2013)

“A collection of papers that offer a comprehensive state-of-the-art of agent-based modelling (ABM) in geography. … an essential reference for any researcher in the field of ABM and geographical systems. Although a more than 700 pages book can scare everyone, the admirably collective effort to synthesize and provide an up-to-date overview of the most relevant methodological and applied works in the field is worth the challenge. Furthermore, it must be said that it can also be recommended to any reader interested in ABM … .” (José Manuel Galán, Journal of Artificial Societies and Social Simulation, Vol. 15 (3), 2012)

Editors and Affiliations

  • School of Geography, University of Leeds, Leeds, United Kingdom

    Alison J. Heppenstall

  • , Department of Computational Social Scien, George Mason University, Fairfax, USA

    Andrew T. Crooks

  • International Institute of Applied Syste, Laxenburg, Austria

    Linda M. See

  • Ctr. Advanced Spatial Analysis, University College London, London, United Kingdom

    Michael Batty

Bibliographic Information

  • Book Title: Agent-Based Models of Geographical Systems

  • Editors: Alison J. Heppenstall, Andrew T. Crooks, Linda M. See, Michael Batty

  • DOI: https://doi.org/10.1007/978-90-481-8927-4

  • Publisher: Springer Dordrecht

  • eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)

  • Copyright Information: Springer Science+Business Media B.V. 2012

  • Hardcover ISBN: 978-90-481-8926-7Published: 24 November 2011

  • Softcover ISBN: 978-94-007-9483-2Published: 26 January 2014

  • eBook ISBN: 978-90-481-8927-4Published: 24 November 2011

  • Edition Number: 1

  • Number of Pages: VIII, 760

  • Topics: Human Geography, Simulation and Modeling, Geography, general

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