Books  Data Analysis & Modelling  Modelling 

Environmental Modelling: An Introduction


By: Jo Smith and Peter Smith

180 pages, Figs, tabs

Oxford University Press

Paperback | Jan 2007 | #160376 | ISBN-13: 9780199272068
Availability: Usually dispatched within 2-3 weeks Details
NHBS Price: £33.99 $42/€38 approx

About this book

The global environment is a complex mix of interlinked processes, about which observation can tell us a great deal. But how can we use current observation to model future events, or to predict the consequences of scenarios that don't yet exist?

Environmental Modelling: An Introduction&o; shows how modelling can be used to explain experimental observations, and how these observations - and the data gathered - can be extrapolated to help us understand new environments and processes, and to solve environmental problems.

The book begins by explaining why modelling is such a powerful experimental tool, before walking the reader through the process of constructing a model - what the key considerations are, and how different models should be used to probe different types of problem. It then illustrates how models are actively applied, before introducing a series of case studies to show how modelling has been used in real environmental and ecological studies.

Accompanied by an extensive Online Resource Centre to support active, hands-on learning on the part of the student, Environmental Modelling: An Introduction is the ideal resource for any student who needs to develop a working understanding of modelling, and how to apply modelling in their own research.

So shall I recommend this book to our students? Yes, definitely. lecturers starting a new environmental modelling course would be well advised to consider following Smith & Smith, not least because of the excellent online resources available to registered adopters. The book definitely fills a gap in current texts on modelling, and the authors are to be congratulated. European Journal of Soil Science, April 2008


1. Introduction; 2. Model Development; 3. Model Evaluation; 4. Application of Models; 5. Environmental and Ecological Models in the Real World

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