Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization, and Applications, 2e
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Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization, and Applications, 2e

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Description

This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines.
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Product details

  • Hardback | 504 pages
  • 154 x 232 x 30mm | 919.99g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 2nd edition
  • black & white illustrations, black & white tables, figures, graphs
  • 0123970083
  • 9780123970084
  • 1,777,663

Table of contents

Preface Acknowledgements Section I Basics 1. Basics of Agricultural System Models 2. Statistical notions useful for modeling 3. The R programming language and software 4. Simulation with dynamic system models Section II Methods 5. Uncertainty and sensitivity analysis 6. Parameter estimation with classical methods 7. Bayesian methods for parameter estimation 8. Data assimilation for dynamic models 9. Model evaluation 10. Putting it all together in a case study Appendices Appendix 1. Model descriptions Appendix 2. An overview of the R package ZeBook
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Review quote

"This edition adds chapters on the basics of dynamic system models, statistics, and simulation; examples of how the methods can be applied to real-world problems; advanced methods for parameter estimation, model evaluation, and data assimilation; a new chapter on how the topics fit together in a complete modeling project; and information on how to use the R language and platform." --ProtoView.com, April 2014
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About Francois Brun

est maitre de conference des universites, medecin des hopitaux de Paris au service de dermatologie de l'hopital Tarnier, Paris.
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