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.
Number of pages: 760
Weight: 1310 g
Dimensions: 235 x 155 x 41 mm
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 Dragicevic, 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 ... ." (Jose Manuel Galan, Journal of Artificial Societies and Social Simulation, Vol. 15 (3), 2012)
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