2010. 2nd Edition. Paperback. Focuses on the modeling techniques that allow managers and researchers to see in advance the consequences of actions and policies in environmental management. This book demonstrates the fundamental principles of system dynamics, which is one of the most widely used methods of modeling. Num Pages: 488 pages, black & white illustrations, black & white tables, figures. BIC Classification: PBWH; RNF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 180 x 21. Weight in Grams: 700. . . . . . Books ship from the US and Ireland.

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Detalles bibliogr�ficos

T�tulo: Modeling the Environment, Second Edition: An Introduction To System Dynamics Modeling Of Environmental Systems
Editor: Island Press
Fecha de publicaci�n: 2009
Idioma: Ingl�s
ISBN 10: 1597264733
ISBN 13: 9781597264730
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 2� Edici�n
Estado: New

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Sinopsis

"Modeling the Environment" was the first textbook in an emerging field - the modeling techniques that allow managers and researchers to see in advance the consequences of actions and policies in environmental management. This new edition brings the book thoroughly up to date and reaffirms its status as the leading introductory text on the subject. System dynamics is one of the most widely used methods of modeling. The fundamental principles of this approach are demonstrated here with a wide range of examples, including geohydrology, population biology, epidemiology, and economics. The applications demonstrate the transferability of the systems approach across disciplines, across spatial scales, and across time scales. All of the models are implemented with stock and flow software programs such as Stella and Vensim, which are easy for students to learn and use.

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Andrew Ford is professor of environmental science at Washington State University, where he teaches system dynamics modeling. He has developed a wide range of models dealing with energy and environmental policy. His simulation of uncertainty in dynamic models was honored with the Jay Wright Forrester Award as an outstanding contribution to the field of system dynamics.

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