Description: Individual-based Modeling and Ecology Princeton Series in Theoretical and Computational Biologyby Volker Grimm, Steven F. Railsback ISBN-13: 9780691096667 ISBN-10: 069109666X Publisher: Princeton University Press Binding: Paperback Publication Year: 2005 Edition: First Condition: Acceptable – underlining and/or writing on 20 pages • 2 turned page corners • phsyically good with tight binding About: refer to image(s)Contents:Preface Acknowledgments Part 1 Modeling Chapter 1 Introduction 1.1 Why Individual-based Modeling and Ecology? 1.2 Linking Individual Traits and System Complexity: Three Examples 1.3 Individual-based Ecology 1.4 Early IBMs and Their Research Programs 1.5 What Makes a Model an IBM? 1.6 Status and Challenges of the Individual-based Approach 1.7 Conclusions and Outlook Chapter 2 A Primer to Modeling 2.1 Introduction 2.2 Heuristics for Modeling 2.3 The Modeling Cycle 2.4 Summary and Discussion Chapter 3 Pattern-oriented Modeling 3.1 Introduction 3.2 Why Patterns, and What Are Patterns? 3.3 The Tasks of Pattern-oriented Modeling 3.4 Discussion Part 2 Individual-based Ecology Chapter 4 Theory in Individual-based Ecology 4.1 Introduction 4.2 Basis for Theory in IBE 4.3 Goals of IBE Theory 4.4 Theory Structure 4.5 Theory Development Cycle 4.6 Example: Development of Habitat Selection Theory for Trout 4.7 Summary and Discussion Chapter 5 A Conceptual Framework for Designing Individual-based Models 5.1 Introduction 5.2 Emergence 5.3 Adaptive Traits and Behavior 5.4 Fitness 5.5 Prediction 5.6 Interaction 5.7 Sensing 5.8 Stochasticity 5.9 Collectives 5.10 Scheduling 5.11 Observation 5.12 Summary and Conclusions 5.13 Conceptual Design Checklist Chapter 6 Examples 6.1 Introduction 6.2 Group and Social Behavior 6.3 Population Dynamics of Social Animals 6.4 Movement: Dispersal and Habitat Selection 6.5 Regulation of Hypothetical Populations 6.6 Comparison with Classical Models 6.7 Dynamics of Plant Populations and Communities 6.8 Structure of Communities and Ecosystems 6.9 Artificially Evolved Traits 6.10 Summary and Conclusions Part 3 The Engine Room Chapter 7 Formulating Individual-based Models 7.1 Introduction 7.2 Contents of an IBM Formulation 7.3 Formulating an IBM's Spatial Elements 7.4 Formulating Logical and Probabilistic Rules 7.5 Formulating Adaptive Traits 7.6 Controlling Uncertainty 7.7 Using Object-oriented Design and Description 7.8 Using Mechanistic and Discrete Mathematics 7.9 Designing Superindividuals 7.10 Summary and Conclusions Chapter 8 Software for Individual-based Models 8.1 Introduction 8.2 The Importance of Software Design for IBMs 8.3 Software Terminology and Concepts 8.4 Software Platforms 8.5 Software Testing 8.6 Moving Software Development Forward 8.7 Important Implementation Techniques 8.8 Some Favorite Software Myths 8.9 Summary and Conclusions Chapter 9 Analyzing Individual-based Models 9.1 Introduction 9.2 Steps in Analyzing an IBM 9.3 General Strategies for Analyzing IBMs 9.4 Techniques for Analyzing IBMs 9.5 Statistical Analysis 9.6 Sensitivity and Uncertainty Analysis 9.7 Robustness Analysis 9.8 Parameterization 9.9 Independent Predictions 9.10 Summary and Conclusions Chapter 10 Communicating Individual-based Models and Research 10.1 Introduction 10.2 Types of IBE Work to Communicate 10.3 Complete and Efficient Model Description 10.4 Common Review Comments 10.5 Visual Communication of Executable Models 10.6 Communicating Software 10.7 Summary and Conclusions Part 4 Conclusions and Chapter 11 Using Analytical Models in Individual-based Ecology 11.1 Introduction 11.2 Classifications of Ecological Models 11.3 Benefits of Analytical Models 11.4 Analytical Approximation of IBMs 11.5 Using Analytical Models to Understand and Analyze IBMs 11.6 Summary and Discussion Chapter 12 Conclusions and Outlook for Individual-based Ecology 12.1 Introduction 12.2 Why Do We Need IBE? 12.3 How Is IBE Different From Traditional Ecology? 12.4 What Can Ecology Contribute to the Science of Complex Systems? 12.5 A Visit to the Individual-based Ecology Laboratory Glossary References mySku 4878
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Publication Name: Individual-based Modeling and Ecology
Subject Area: Data Modeling & Design, Biology, Ecology, Biotic communities, Mathematical models, Population Dynamics, computational biology
Number of Pages: 428
Series: Princeton Series in Theoretical and Computational
Format: Trade Paperback
Educational Level: Adult & Further Education
Type: Textbook
Author: Volker Grimm, Steven F. Railsback
Subject: Computers, Computer Science, Science
Publication Year: 2005
Language: English
Publisher: Princeton University Press
Level: College
ISBN: 069109666X
Shipping Weight: Under 2 Pounds