| Description |
1 online resource (xvi, 487 pages) : illustrations |
| Contents |
1. Basics of agricultural system models -- 2. Statistical notions useful for modeling -- 3. The R programming language software -- 4. Simulation with dynamic system models -- 5. Uncertainty and sensitivity analysis -- 6. Parameter estimation with classical methods (model calibration) -- 7. Parameter estimation with Bayesian methods -- 8. Data assimilation for dynamic models -- 9. Model evaluation -- 10. Putting it all together in a case study |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Crop yields -- Mathematical models.
|
|
Crops -- Growth -- Mathematical models.
|
| Form |
Electronic book
|
| Author |
Brun, François, editor
|
|
Jones, James Wigington, 1944- editor
|
|
Makowski, David, 1972- editor
|
|
Wallach, Daniel, 1942- editor
|
| ISBN |
0444594469 (electronic bk.) |
|
1306195659 (electronic bk.) |
|
9780444594464 (electronic bk.) |
|
9781306195652 (electronic bk.) |
|
(hbk.) |
|
(hbk.) |
|
