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Agent-Based Models of Geographical Systems

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Cover of 'Agent-Based Models of Geographical Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Perspectives on Agent-Based Models and Geographical Systems
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    Chapter 2 A Generic Framework for Computational Spatial Modelling
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    Chapter 3 A Review of Microsimulation and Hybrid Agent-Based Approaches
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    Chapter 4 Cellular Automata in Urban Spatial Modelling
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    Chapter 5 Introduction to Agent-Based Modelling
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    Chapter 6 Agent-Based Models – Because They’re Worth It?
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    Chapter 7 Agent-Based Modeling and Complexity
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    Chapter 8 Designing and Building an Agent-Based Model
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    Chapter 9 Modelling Human Behaviour in Agent-Based Models
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    Chapter 10 Calibration and Validation of Agent-Based Models of Land Cover Change
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    Chapter 11 Networks in Agent-Based Social Simulation
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    Chapter 12 The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation
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    Chapter 13 Space in Agent-Based Models
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    Chapter 14 Large Scale Agent-Based Modelling: A Review and Guidelines for Model Scaling
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    Chapter 15 Uncertainty and Error
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    Chapter 16 Agent-Based Extensions to a Spatial Microsimulation Model of Demographic Change
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    Chapter 17 Designing, Formulating, and Communicating Agent-Based Models
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    Chapter 18 Agent Tools, Techniques and Methods for Macro and Microscopic Simulation
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    Chapter 19 Using Agent-Based Models to Simulate Crime
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    Chapter 20 Urban Geosimulation
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    Chapter 21 Applied Pedestrian Modeling
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    Chapter 22 Business Applications and Research Questions Using Spatial Agent-Based Models
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    Chapter 23 Using Agent-Based Models for Education Planning: Is the UK Education System Agent Based?
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    Chapter 24 Simulating Spatial Health Inequalities
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    Chapter 25 Agent-Based Modelling of Residential Mobility, Housing Choice and Regeneration
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    Chapter 26 Do Land Markets Matter? A Modeling Ontology and Experimental Design to Test the Effects of Land Markets for an Agent-Based Model of Ex-Urban Residential Land-Use Change
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    Chapter 27 Exploring Coupled Housing and Land Market Interactions Through an Economic Agent-Based Model (CHALMS)
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    Chapter 28 Exploring Urban Dynamics in Latin American Cities Using an Agent-Based Simulation Approach
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    Chapter 29 An Agent-Based/Network Approach to Spatial Epidemics
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    Chapter 30 An Agent-Based Modelling Application of Shifting Cultivation
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    Chapter 31 Towards New Metrics for Urban Road Networks: Some Preliminary Evidence from Agent-Based Simulations
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    Chapter 32 A Logistic Based Cellular Automata Model for Continuous Urban Growth Simulation: A Case Study of the Gold Coast City, Australia
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    Chapter 33 Exploring Demographic and Lot Effects in an ABM/LUCC of Agriculture in the Brazilian Amazon
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    Chapter 34 Beyond Zipf: An Agent-Based Understanding of City Size Distributions
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    Chapter 35 The Relationship of Dynamic Entropy Maximising and Agent-Based Approaches in Urban Modelling
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    Chapter 36 Multi-agent System Modelling for Urban Systems: The Series of SIMPOP Models
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    Chapter 37 Reflections and Conclusions: Geographical Models to Address Grand Challenges
Overall attention for this book and its chapters
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Citations

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Title
Agent-Based Models of Geographical Systems
Published by
Springer Netherlands, November 2011
DOI 10.1007/978-90-481-8927-4
ISBNs
978-9-04-818926-7, 978-9-04-818927-4, 978-9-40-079483-2
Editors

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

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,333 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 1%
United Kingdom 13 <1%
Brazil 5 <1%
France 4 <1%
Spain 3 <1%
Netherlands 3 <1%
Switzerland 3 <1%
Italy 3 <1%
Australia 3 <1%
Other 30 2%
Unknown 1250 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 409 31%
Student > Master 245 18%
Researcher 155 12%
Student > Doctoral Student 84 6%
Student > Bachelor 67 5%
Other 191 14%
Unknown 182 14%
Readers by discipline Count As %
Environmental Science 188 14%
Computer Science 168 13%
Social Sciences 166 12%
Engineering 159 12%
Earth and Planetary Sciences 88 7%
Other 316 24%
Unknown 248 19%