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Working with dynamic crop models : methods, tools and examples for agriculture and environment /
Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment, 3e, is a complete guide to working with dynamic system models, with emphasis on models in agronomy and environmental science. The introductory section presents the foundational information for the book inc...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States ; Kidlington, Oxford, United Kingdom :
Academic Press, an Imprint of Elsevier,
[2019]
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| Edición: | Third edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment; Copyright; Contents; Preface; Acknowledgments; Section A: Background; Chapter 1: Basics of Agricultural System Models; 1. Introduction; 2. System Models; 2.1. Systems Approach; 2.2. System Environment and Boundary; 2.3. System Model and Simulation; 2.3.1. System Model; 2.3.2. Simulation; 2.3.3. General Form of a Dynamic System Model; 2.4. State Variables U(t); 2.5. Explanatory Variables and Parameters; 3. Developing Dynamic System Models; 3.1. Methods.
- 3.2. Example Development of a System Model4. Other Forms of System Models; 4.1. Random Elements in Dynamic Equations; 4.2. A Dynamic System Model as a Response Model; 4.2.1. Random Elements in System Response Equations; 5. Examples of Dynamic Agricultural System Models; 5.1. Simple Maize Crop Model; 5.2. Dynamic Soil Water Model and Drought Index; 5.2.1. The ARID Soil Water Model; 5.2.2. Combining Soil and Crop Models; 5.2.3. Extending the Soil Water Model for Nonhomogenous Soils; 5.3. Population Dynamics Models; 5.3.1. Homogenous Population With Limited Food Supply.
- 5.3.2. Population Dynamics Model With Age Classes5.3.3. Predator-Prey Population Dynamics Model; 5.3.4. Modeling Spatial Variations in Population Dynamics; Exercises; References; Chapter 2: The R Programming Language and Software; 1. Introduction; 1.1. What Is R?; 1.2. Why R?; 1.3. What's in This Chapter?; 2. Getting Started; 2.1. How to Install the R Software; 2.2. The R Interface; 2.3. Notation for R Code; 2.4. Using R as a Simple Calculator; 2.5. Using a Script Editor; 2.6. The Notion of an R Program; 2.7. Debugging an R Program; 2.8. Need Help?; 3. Objects in R; 3.1. Creating Objects.
- 3.2. Types of Objects4. Vectors (Numerical, Logical, Character); 4.1. Creation of a Vector; 4.2. Subscripting a Vector; 4.3. Operations on Vectors; 4.4. Combining Vectors; 5. Other Data Structures; 5.1. Matrices; 5.2. Data Frames; 5.3. Lists; 6. Read From and Write to File System; 7. Control Structures; 7.1. Loops; 7.2. Conditions; 8. Functions; 8.1. Writing Your Own Functions; 9. Graphics; 10. Statistics and Probability; 10.1. Probability Distributions; 10.2. Controlling the Randomness in Random Numbers; 10.3. Basic Statistical Analyses; 11. Advanced Data Processing.
- 12. Additional Packages (Libraries)12.1. What Are Packages?; 12.2. Retrieve, Install, and Load a Package; 12.3. The ZeBook Package; 13. Running an External Model From R; 14. Reducing Computing Time; 14.1. Good Programming Practices; 14.2. Measuring the Computation Time for Each Piece of Code; 14.3. Recoding a Portion of the R Code in an Externally Compiled Language; 14.4. Parallelization of R Code; Exercises; References; Chapter 3: Simulation With Dynamic System Models; 1. Introduction; 2. Simulating Continuous Time Models (Differential Equation Form).