This practical, classroom-tested guide to modeling methodology explains how to implement simulations and analyze the results using a free, open-source software platform. Based on the author's many years of teaching graduate and undergraduate students in several countries, this textbook brings together principles of modeling methods and theoretic
This practical, classroom-tested guide to modeling methodology explains how to implement simulations and analyze the results using a free, open-source software platform. Based on the author's many years of teaching graduate and undergraduate students in several countries, this textbook brings together principles of modeling methods and theoretic
Miguel F. Acevedo has 38 years of academic experience, the last 20 of these as faculty member of the University of North Texas (UNT). His career has been interdisciplinary, especially at the interface of science and engineering. He obtained his Ph.D. in biophysics from the University of California Berkeley and master degrees in electrical engineering and computer science from Berkeley and the University of Texas at Austin, respectively. Prior to UNT, he was at the Universidad de Los Andes in Merida, Venezuela, where he taught for 18 years. He has served on the Science Advisory Board of the U.S. Environmental Protection Agency and on many review panels of the U.S. National Science Foundation. He has received numerous research grants and written many journal articles, book chapters, and proceedings articles. UNT has recognized him with the Regent's Professor rank, the Citation for Distinguished Service to International Education, and the Regent's Faculty Lectureship. For more information, see Dr. Acevedo's page at UNT.
Inhaltsangabe
Part I Introduction, Mathematical Review, and Software Fundamentals: Introduction. Review of Basic Mathematical Concepts and Introduction to R. Part II One-Dimensional Models and Fundamentals of Modeling Methodology: Exponential Model. Model Simulation. Model Evaluation. Nonlinear Models. Stability and Disturbances. Sensitivity Analysis, Response Surfaces, and Scenarios. Part III Multidimensional Models: Structured Populations, Communities, and Ecosystems: Linear Dynamical Systems. Structured Population Models. Ecotoxicological Modeling. Community Dynamics. Ecosystems: Nutrients and Energy. Aquatic Ecosystems. Terrestrial Ecosystems: Soils, Plants, and Water. Terrestrial Ecosystems: Vegetation Dynamics. Bibliography. Index.
Part I Introduction, Mathematical Review, and Software Fundamentals: Introduction. Review of Basic Mathematical Concepts and Introduction to R. Part II One-Dimensional Models and Fundamentals of Modeling Methodology: Exponential Model. Model Simulation. Model Evaluation. Nonlinear Models. Stability and Disturbances. Sensitivity Analysis, Response Surfaces, and Scenarios. Part III Multidimensional Models: Structured Populations, Communities, and Ecosystems: Linear Dynamical Systems. Structured Population Models. Ecotoxicological Modeling. Community Dynamics. Ecosystems: Nutrients and Energy. Aquatic Ecosystems. Terrestrial Ecosystems: Soils, Plants, and Water. Terrestrial Ecosystems: Vegetation Dynamics. Bibliography. Index.
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