Coverart for item
The Resource Working with dynamic crop models : methods, tools and examples for agriculture and environment, [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun, (electronic book)

Working with dynamic crop models : methods, tools and examples for agriculture and environment, [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun, (electronic book)

Label
Working with dynamic crop models : methods, tools and examples for agriculture and environment
Title
Working with dynamic crop models
Title remainder
methods, tools and examples for agriculture and environment
Statement of responsibility
[edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun
Contributor
Editor
Subject
Language
eng
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 programmi
Member of
Cataloging source
EBLCP
Dewey number
  • 631.5
  • 631.5/8/015118
  • 631.58015118
Illustrations
illustrations
Index
index present
LC call number
SB112.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1942-
  • 1972-
  • 1944-
http://library.link/vocab/relatedWorkOrContributorName
  • Wallach, Daniel
  • Makowski, David
  • Jones, James Wigington
  • Brun, François
http://library.link/vocab/subjectName
  • Crop yields
  • Crops
  • Agricultural mathematics
  • Crop yields
  • Crop yields
  • Crop yields
  • Crops
  • Crops
  • TECHNOLOGY & ENGINEERING / Agriculture / General
Label
Working with dynamic crop models : methods, tools and examples for agriculture and environment, [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun, (electronic book)
Instantiates
Publication
Note
6 Read from and Write to File System
Bibliography note
Includes bibliographical references and index
Contents
  • Front Cover; Working with Dynamic Crop Models; Copyright Page; Contents; Preface; 1 Basics; 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 Model; 4 Other Forms of System Models; 4.1 Random Elements in Dynamic Equations
  • 4.2 A Dynamic System Model as a Response Model4.2.1 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 Non-Homogenous Soils; 5.3 Population Dynamics Models; 5.3.1 Homogenous Population with Limited Food Supply; 5.3.2 Population Dynamics Model with Age Classes; 5.3.3 Predator-Prey Population Dynamics Model; 5.3.4 Modeling Spatial Variations in Population Dynamics
  • ExercisesEasy; Moderate; Difficult; References; 2 Statistical Notions Useful for Modeling; 1 Introduction; 1.1 In This Chapter; 2 Random Variable; 3 The Probability Distribution of a Random Variable; 3.1 Cumulative Distribution and Density Functions; 3.2 Expectation, Variance, and Quantiles of a Random Variable; 3.3 Best Predictor of Y Using a Constant; 3.4 Particular Distributions; 4 Several Random Variables; 4.1 Joint Distribution; 4.2 Marginal Distribution; 4.3 Conditional Distribution and Independence; 4.4 Covariance and Correlation
  • 4.5 Expectation and Variance for Multiple Random Variables4.6 Best Predictor of Y Using a Function of X; 4.7 The Multivariate Normal Distribution; 5 Samples, Estimators, and Estimates; 5.1 Simple Random Samples; 5.2 Sampling in Agronomy; 5.3 Estimators and Estimates; 5.4 Effective Sample Size; 6 Regression Models; 7 Bayesian Statistics; 7.1 The Difference Between Bayesian and Frequentist Statistics; 7.2 Basic Ideas of Bayesian Statistics; 7.3 Bayesian Parameter Estimation in Modeling; 7.4 Frequentist or Bayesian?; Exercises; References; 3 The R Programming Language and Software
  • 1 Introduction1.1 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 Objects; 4 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
Control code
SCIDI865335096
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (xvi, 487 pages)
Form of item
online
Isbn
9780444594464
Other physical details
illustrations
Specific material designation
remote
Label
Working with dynamic crop models : methods, tools and examples for agriculture and environment, [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun, (electronic book)
Publication
Note
6 Read from and Write to File System
Bibliography note
Includes bibliographical references and index
Contents
  • Front Cover; Working with Dynamic Crop Models; Copyright Page; Contents; Preface; 1 Basics; 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 Model; 4 Other Forms of System Models; 4.1 Random Elements in Dynamic Equations
  • 4.2 A Dynamic System Model as a Response Model4.2.1 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 Non-Homogenous Soils; 5.3 Population Dynamics Models; 5.3.1 Homogenous Population with Limited Food Supply; 5.3.2 Population Dynamics Model with Age Classes; 5.3.3 Predator-Prey Population Dynamics Model; 5.3.4 Modeling Spatial Variations in Population Dynamics
  • ExercisesEasy; Moderate; Difficult; References; 2 Statistical Notions Useful for Modeling; 1 Introduction; 1.1 In This Chapter; 2 Random Variable; 3 The Probability Distribution of a Random Variable; 3.1 Cumulative Distribution and Density Functions; 3.2 Expectation, Variance, and Quantiles of a Random Variable; 3.3 Best Predictor of Y Using a Constant; 3.4 Particular Distributions; 4 Several Random Variables; 4.1 Joint Distribution; 4.2 Marginal Distribution; 4.3 Conditional Distribution and Independence; 4.4 Covariance and Correlation
  • 4.5 Expectation and Variance for Multiple Random Variables4.6 Best Predictor of Y Using a Function of X; 4.7 The Multivariate Normal Distribution; 5 Samples, Estimators, and Estimates; 5.1 Simple Random Samples; 5.2 Sampling in Agronomy; 5.3 Estimators and Estimates; 5.4 Effective Sample Size; 6 Regression Models; 7 Bayesian Statistics; 7.1 The Difference Between Bayesian and Frequentist Statistics; 7.2 Basic Ideas of Bayesian Statistics; 7.3 Bayesian Parameter Estimation in Modeling; 7.4 Frequentist or Bayesian?; Exercises; References; 3 The R Programming Language and Software
  • 1 Introduction1.1 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 Objects; 4 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
Control code
SCIDI865335096
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (xvi, 487 pages)
Form of item
online
Isbn
9780444594464
Other physical details
illustrations
Specific material designation
remote

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