Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment

ISBN-13: 9780128117569 / Angielski / Twarda / 2018 / 613 str.

Daniel Wallach; David Makowski; James W. Jones

Spis treści

Section A Background 1. Basics of Agricultural System Models 2. The R Programming Language and Software 3. Simulation with Dynamic System Models 4. Statistical Notions Useful for Modeling 5. Regression Analysis, Frequentist

Section B Basic methods 6. Uncertainty and Sensitivity Analysis 7. Calibration of System Models

8. Parameter Estimation With Bayesian Methods 9. Model Evaluation 10. Putting It All Together in a Case Study

Section C Advanced Methods 11. Metamodeling 12. Multimodel Ensembles 13. Gene-Based Crop Models 14. Data Assimilation for Dynamic Models 15. Models as an Aid to Sampling

Appendix 1:   The Models Included in the ZeBook R Package: Description, R Code, and Examples of Results

Appendix 2:  An Overview of the R Package ZeBook

O autorze

Daniel Wallach focuses on the application of statistical methods of dynamic systems, specifically on agronomy models. He has published in Agriculture, Ecosystems and Environment; Journal of Agricultural, Biological and Environmental Statistics and European Journal of Agronomy. David Makowski is an expert with the European Food Safety authority and the French Agency for Food, Environmental and Occupational Health and Safety and has authored 50 refereed articles and 10 book chapters on statistics, agricultural modeling and risk analysis. James Jones has authored more than 250 refereed scientific journal articles, developed and teached a graduate course based mostly on this book. He is a Fellow of the American Society of Agricultural and Biological Engineers, Fellow of the American Society of Agronomy, Fellow of the Soil Science Society of America and serves on several international science advisory committees related to agriculture and climate. Francois Brun specializes in agricultural modeling systems using the R language, and has published in Journal of Experimental Botany.