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Working with Dynamic Crop Models - Methods, Tools and Examples for Agriculture and Environment (Hardcover, 3rd edition)
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Working with Dynamic Crop Models - Methods, Tools and Examples for Agriculture and Environment (Hardcover, 3rd edition)
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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 including the basics of
system models, simulation, the R programming language, and the
statistical notions necessary for working with system models. The
most important methods of working with dynamic system models,
namely uncertainty and sensitivity analysis, model calibration
(frequentist and Bayesian), model evaluation, and data assimilation
are all treated in detail, in individual chapters. New chapters
cover the use of multi-model ensembles, the creation of metamodels
that emulate the more complex dynamic system models, the
combination of genetic and environmental information in gene-based
crop models, and the use of dynamic system models to aid in
sampling. The book emphasizes both understanding and practical
implementation of the methods that are covered. Each chapter simply
and clearly explains the underlying principles and assumptions of
each method that is presented, with numerous examples and
illustrations. R code for applying the methods is given throughout.
This code is designed so that it can be adapted relatively easily
to new problems.
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