Individual-based Modeling and Ecology / / Steven F. Railsback, Volker Grimm.

Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first...

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Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
VerfasserIn:
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2013]
©2005
Year of Publication:2013
Edition:Course Book
Language:English
Series:Princeton Series in Theoretical and Computational Biology ; 8
Online Access:
Physical Description:1 online resource (448 p.) :; 12 halftones. 34 line illus. 3 tables.
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245 1 0 |a Individual-based Modeling and Ecology /  |c Steven F. Railsback, Volker Grimm. 
250 |a Course Book 
264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2013] 
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300 |a 1 online resource (448 p.) :  |b 12 halftones. 34 line illus. 3 tables. 
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505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t Acknowledgments --   |t PART 1. MODELING --   |t Chapter 1. Introduction --   |t Chapter 2. A Primer to Modeling --   |t Chapter 3. Pattern-oriented Modeling --   |t PART 2. INDIVIDUAL-BASED ECOLOGY --   |t Chapter 4. Theory in Individual-based Ecology --   |t Chapter 5. A Conceptual Framework for Designing Individual-based Models --   |t Chapter 6. Examples --   |t PART 3. THE ENGINE ROOM --   |t Chapter 7. Formulating Individual-based Models --   |t Chapter 8. Software for Individual-based Models --   |t Chapter 9. Analyzing Individual-based Models --   |t Chapter 10. Communicating Individual-based Models and Research --   |t PART 4. CONCLUSIONS AND OUTLOOK --   |t Chapter 11. Using Analytical Models in Individual-based Ecology --   |t Chapter 12. Conclusions and Outlook for Individual-based Ecology --   |t Glossary --   |t References --   |t Index 
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520 |a Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.? Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
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650 7 |a SCIENCE / Life Sciences / Ecology.  |2 bisacsh 
700 1 |a Railsback, Steven F.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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