
Modeling the Environment, Second Edition
Andrew Ford(Author)
Island Press
2nd Edition
Will be published approx. on 11. November 2009
Book
Paperback/Softback
400 pages
978-1-59726-473-0 (ISBN)
Description
"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.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Princeton University Press
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
324 illustrations
Dimensions
Height: 253 mm
Width: 178 mm
Thickness: 23 mm
Weight
696 gr
ISBN-13
978-1-59726-473-0 (9781597264730)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Andrew Ford
Modeling the Environment, Second Edition
E-Book
11/2009
2nd Edition
Princeton University Press
€46.99
Available for download
Person
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.