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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
Attention for Chapter 12: The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation
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Chapter title
The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation
Chapter number 12
Book title
Agent-Based Models of Geographical Systems
Published by
Springer, Dordrecht, January 2012
DOI 10.1007/978-90-481-8927-4_12
Book ISBNs
978-9-04-818926-7, 978-9-04-818927-4

Andrew T. Crooks, Christian J. E. Castle

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 1%
Canada 2 1%
Switzerland 1 <1%
Virgin Islands, U.S. 1 <1%
Australia 1 <1%
Brazil 1 <1%
Liberia 1 <1%
Italy 1 <1%
Denmark 1 <1%
Other 3 2%
Unknown 153 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 32%
Student > Master 27 16%
Researcher 14 8%
Student > Doctoral Student 10 6%
Professor > Associate Professor 9 5%
Other 30 18%
Unknown 23 14%
Readers by discipline Count As %
Computer Science 30 18%
Social Sciences 24 14%
Environmental Science 20 12%
Engineering 18 11%
Earth and Planetary Sciences 15 9%
Other 28 17%
Unknown 32 19%