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Dynamic Modeling

  • Book
  • © 1994

Overview

Authors:
  1. Bruce Hannon

    1. Department of Geography, University of Illinois, Urbana, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Matthias Ruth

    1. Center for Energy and Environmental Studies, Boston University, Boston, USA

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (32 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Modeling Dynamic Systems

      • Bruce Hannon, Matthias Ruth
      Pages 3-15

  3. Some General Methods for Modeling

    1. Front Matter

      Pages 17-17
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    2. Four Model Sets

      • Bruce Hannon, Matthias Ruth
      Pages 19-31

    3. Gradual Development of a Dynamic Model

      • Bruce Hannon, Matthias Ruth
      Pages 32-45

    4. Two Independent Variables

      • Bruce Hannon, Matthias Ruth
      Pages 46-55

    5. Randomness

      • Bruce Hannon, Matthias Ruth
      Pages 56-60

    6. Positive and Negative Feedback

      • Bruce Hannon, Matthias Ruth
      Pages 61-65

    7. Derivatives and Lags

      • Bruce Hannon, Matthias Ruth
      Pages 66-70

  4. Chemistry Models

    1. Front Matter

      Pages 71-71
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    2. The Law of Mass Action

      • Bruce Hannon, Matthias Ruth
      Pages 73-79

    3. Chance-Cleland Model for Enzyme-Substrate Interaction

      • Bruce Hannon, Matthias Ruth
      Pages 80-82

    4. The Olsen Oscillator

      • Bruce Hannon, Matthias Ruth
      Pages 83-87

  5. Genetics Models

    1. Front Matter

      Pages 89-89
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    2. Mating of Alleles

      • Bruce Hannon, Matthias Ruth
      Pages 91-96

    3. Natural Selection and Mutation

      • Bruce Hannon, Matthias Ruth
      Pages 97-101

  6. Ecological Models

    1. Front Matter

      Pages 103-103
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    2. Robin Population

      • Bruce Hannon, Matthias Ruth
      Pages 105-109

    3. The Two-Stage Insect Model

      • Bruce Hannon, Matthias Ruth
      Pages 110-114
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Keywords

About this book

Computer models offer a means of interpreting and analyzing the dynamics of real-world systems ranging from population growth to ozone depletion. Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavor. The book enables readers to convert their understanding of a phenomenon to a computer model, and then to run the model and let it yield the inevitable dynamic consequences built into the structure of the model. Dynamic Modeling uses STELLA II software to develop simulation models. Part I provides an introduction to modeling dynamic systems. Part II offers general methods for modeling. Parts III through VIII apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. To develop and execute dynamic simulation models, Dynamic Modeling comes with STELLA II run-time software for Windows-based computers, as well as computer files of sample models used in the book. Dynamic Modeling offers a clear, approachable introduction to the modeling process, and will be of interest in any field where real problems can be illuminated by computer simulation.

Authors and Affiliations

  • Department of Geography, University of Illinois, Urbana, USA

    Bruce Hannon

  • Center for Energy and Environmental Studies, Boston University, Boston, USA

    Matthias Ruth

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