Agent–Based Models of Geographical Systems

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.

From the back cover:

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.