ISBN:
9789048189274
,
1283453355
,
9781283453356
Language:
English
Pages:
Online-Ressource (VIII, 759p. 180 illus, digital)
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Buchausg. u.d.T. Agent-based models of geographical systems
Keywords:
Social sciences
;
Computer simulation
;
Cartography
;
Human Geography
;
Social Sciences
;
Social sciences
;
Computer simulation
;
Cartography
;
Human Geography
;
Geographic information systems--Simulation methods.
;
Multiagent systems.
;
Geographic information systems
;
Simulation methods
;
Multiagent systems
;
Aufsatzsammlung
;
Mehragentensystem
;
Geoinformationssystem
;
Geoinformationssystem
;
Agent
;
Quantitative Geografie
;
Computersimulation
Abstract:
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
Abstract:
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
Description / Table of Contents:
Agent-Based Models of Geographical Systems; Contents; Chapter 1: Perspectives on Agent-Based Models and Geographical Systems; 1.1 A Little Bit of History; 1.2 Essential Themes; 1.3 Structural Rules, Behaviour, and Dynamics in ABM; 1.4 Computation, Calibration, Error and Uncertainty; 1.5 The Structure and Rationale for What Follows; 1.6 A Guide for the Reader; References; Part I: Computational Modelling: Techniques for Simulating Geographical Systems; Chapter 2: A Generic Framework for Computational Spatial Modelling; 2.1 Antecedents: The Origins of Spatial Models
Description / Table of Contents:
2.2 Modelling as Computation: Abstraction and Representation2.3 Feedback, Dynamics and Processes of Change; 2.4 Six Styles of Spatial Model; 2.5 Cellular Automata: Physical Simulation Models of Urban Morphologies; 2.6 Agent-Based Models: Purposive Behaviour, Physical Movement and Temporal Change; 2.7 Land Use Transportation (LUTI) Models: Aggregate Behaviour in Spatial Equilibrium; 2.8 Conclusions: Modelling Using Generic or Purpose-Built; References; Chapter 3: A Review of Microsimulation and Hybrid Agent-Based Approaches; 3.1 Introduction; 3.2 Microsimulation Models of Public Policy
Description / Table of Contents:
3.3 Application Areas of Public Policy MSMs3.4 Dynamic Microsimulation; 3.5 Spatial MSM; 3.6 Towards a Hybrid Modelling Approach; 3.6.1 ABM and MSM; 3.6.2 GI Science and ABM; 3.6.3 Unification of MSM, ABM and GI Science; 3.7 Conclusions; References; Chapter 4: Cellular Automata in Urban Spatial Modelling; 4.1 Preliminaries; 4.2 Basic Concepts of CA; 4.2.1 Origins of CA; 4.2.2 One-Dimensional CA; 4.2.3 Two-Dimensional CA; 4.2.4 Game of Life; 4.2.5 Life Forms; 4.3 CA as Complex Systems; 4.4 Urban CA; 4.4.1 History of Urban CA; 4.4.2 Theoretical Urban CA Models; 4.4.3 Real City CA Models
Description / Table of Contents:
4.4.3.1 Land Use Change in Constrained CA4.4.3.2 Diffusion-Based Urban Growth; 4.4.3.3 Urban Sprawl in CA; 4.4.3.4 Fuzzy Urbanization; 4.5 Conclusions; References; Chapter 5: Introduction to Agent-Based Modelling; 5.1 Introduction; 5.2 What Is an Agent?; 5.2.1 What Does an Agent Look Like?; 5.2.2 Rules, Behaviour and Relationships; 5.2.3 Agent Environments; 5.3 Individual-Based Models; 5.3.1 Cellular Automata; 5.3.2 Microsimulation; 5.4 Constructing an Agent-Based Model; 5.5 Working with Agent-Based Models; 5.5.1 Verification, Calibration and Validation; 5.5.2 Communication and Visualisation
Description / Table of Contents:
5.6 Advantages of Agent-Based Modelling5.7 Limitations of Agent-Based Modelling; 5.8 Applications of Agent-Based Models; 5.9 Conclusion; References; Part II: Principles and Concepts of Agent-Based Modelling; Chapter 6: Agent-Based Models - Because They're Worth It?; 6.1 Introduction; 6.2 Horses for Courses: Different Agent Models for Different Purposes; 6.3 Are Modellers Agent-Based Because They Should Be or Because They Can Be?; 6.4 What Are Agents? And What Do They Do?; 6.5 So When Do Agents Make a Difference?; References; Chapter 7: Agent-Based Modeling and Complexity; 7.1 Introduction
Description / Table of Contents:
7.2 Complexity Approaches
Note:
Description based upon print version of record
DOI:
10.1007/978-90-481-8927-4
URL:
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