Environmental Modelling: Finding Simplicity in Complexity
Wainwright, John
Sold by Kennys Bookstore, Olney, MD, U.S.A.
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New - Hardcover
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Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
Condition: New
Quantity: Over 20 available
Add to basket2013. 2nd Edition. Hardcover. Simulation models are an established method used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this second edition is the idea that environmental systems are complex, open systems. Editor(s): Mulligan, Mark; Wainwright, John. Num Pages: 494 pages, Illustrations. BIC Classification: RN; TQ. Category: (P) Professional & Vocational. Dimension: 253 x 120 x 29. Weight in Grams: 998. . . . . . Books ship from the US and Ireland.
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Simulation models are an established method used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this second edition is the idea that environmental systems are complex, open systems. The authors present the diversity of approaches to dealing with environmental complexity and then encourage readers to make comparisons between these approaches and between different disciplines.
Environmental Modelling: Finding Simplicity in Complexity 2nd edition is divided into four main sections:
The second edition evolves from the first by providing additional emphasis and material for those students wishing to specialize in environmental modelling. This edition:
This book is suitable for final year undergraduates and postgraduates in environmental modelling, environmental science, civil engineering and biology who will already be familiar with the subject and are moving on to specialize in the field. It is also designed to appeal to professionals interested in the environmental sciences, including environmental consultants, government employees, civil engineers, geographers, ecologists, meteorologists, and geochemists.
Editors
John Wainwright, Department of Geography, Durham University, UK
Mark Mulligan, Department of Geography, King's College London, UK
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