Spatial simulation

Spatial simulation: exploring pattern and process

by O'Sullivan, David Perry, George L. W.

Type Book
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A ground-up approach to explaining dynamic social modelling for an interdisciplinary audience. Across broad areas of the environmental and social sciences, simulation models are an important way to study systems inaccessible to scientific experimental and observational methods, and also an essential complement to those more conventional approaches. The contemporary research literature is teeming with abstract simulation models whose presentation is mathematically demanding and requires a high l…

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Title Statements

  • Full title :Spatial simulation : exploring pattern and process / David O'Sullivan and George L.W. Perry

Summary

A ground-up approach to explaining dynamic social modelling for an interdisciplinary audience. Across broad areas of the environmental and social sciences, simulation models are an important way to study systems inaccessible to scientific experimental and observational methods, and also an essential complement to those more conventional approaches. The contemporary research literature is teeming with abstract simulation models whose presentation is mathematically demanding and requires a high level of knowledge of quantitative.

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Edition Statements

  • Publication Date:2013

Publication Statements

  • Publisher(s):Wiley-Blackwell
  • Place of Publication:Chichester
  • Language:eng
  • Publication Date:2013

The Physical Object

  • Description:xxiv, 305 s., 4 tav

Edition Identifiers

  • ISBN:9781119970798, 1119970792, 9781119970804, 1119970806
  • oclc:ocn858725582
  • Dewey Decimal:910.285

Table of Contents

Foreword xiii Preface xv Acknowledgements xix Introduction xxi About the Companion Website xxv 1 Spatial Simulation Models: What? Why? How? 1 1.1 What are simulation models? 2 1.1.1 Conceptual models 4 1.1.2 Physical models 7 1.1.3 Mathematical models 7 1.1.4 Empirical models 8 1.1.5 Simulation models 9 1.2 How do we use simulation models? 12 1.2.1 Using models for prediction 13 1.2.2 Models as guides to data collection 13 1.2.3 Models as & lsquo;tools to think with & rsquo; 14 1.3 Why do we use simulation models? 15 1.3.1 When experimental science is difficult (or impossible) 16 1.3.2 Complexity and nonlinear dynamics 18 1.4 Why dynamic and spatial models? 23 1. 4.1 The strengths and weaknesses of highly general models 23 1.4.2 From abstract to more realistic models: controlling the cost 27 2 Pattern, Process and Scale 29 2.1 Thinking about spatiotemporal patterns and processes 30 2.1. 1 What is a pattern? 30 2.1.2 What is a process? 31 2.1.3 Scale 32 2.2 Using models to explore

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