Abstract
In this chapter we develop seemingly simple dynamic population models, explore their behaviors, and in doing so experiment with many of the features of the STELLA software. The processes of model development, and experimentation with the models, are intended to advance your dynamic modeling skills, enable you to carry out sensitivity and error analysis, and see how STELLA solves the systems of equations that make up your model.
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Notes
- 1.
A save-disabled version of STELLA and the computer models of this book are available at www.iseesystems.com/modelingdynamicbiologicalsystems.
- 2.
For a review of this approach and the general strategy of developing, sensitivity testing and using these large spatial models, see: http://ice.gis.uiuc.edu, generally and: http://ice.gis.uiuc.edu/TortModel/tortoise.html, specifically for the error budgeting process.
References
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Gertner G, Guan B (1991) Using an error budget to evaluate the importance of component models within a large-scale simulation model. In: Proceedings of conference on mathematical modeling of forest ecosystems. J.D. Verlag, Frankfurt am Main, pp 62–74
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Hannon, B., Ruth, M. (2014). Exploring Dynamic Biological Systems. In: Modeling Dynamic Biological Systems. Modeling Dynamic Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-05615-9_2
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DOI: https://doi.org/10.1007/978-3-319-05615-9_2
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