Decision Support Systems for Ecosystem Management PDF Download
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Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 164
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Book Description
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 164
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Book Description
Author: Keith M. Reynolds
Publisher:
ISBN:
Category : EMDS (Computer file)
Languages : en
Pages : 88
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Book Description
Author: H. Todd Mowrer
Publisher: DIANE Publishing
ISBN: 0788171925
Category : Artificial intelligence
Languages : en
Pages : 159
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Book Description
Decision support system evaluations; ArcForest; ARGIS; CRBSUM; EMDS; FireBGC; FVS; GypsES; IMPLAN; INFORMS: KLEMS; LANDIS: LOKI: MAGIS: NED: RELMdss; SARA; SIMPPLLE; SNAP; SPECTRUM; TEAMS; Terra vision; UPEST; UTOOLS; Woodstock.
Author: Giorgio Guariso
Publisher:
ISBN: 9780745802558
Category : Decision support systems
Languages : en
Pages : 0
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Book Description
Author: Robin Gregory
Publisher: John Wiley & Sons
ISBN: 1444333410
Category : Mathematics
Languages : en
Pages : 315
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Book Description
This book outlines the creative process of making environmental management decisions using the approach called Structured Decision Making. It is a short introductory guide to this popular form of decision making and is aimed at environmental managers and scientists. This is a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress – in a way that is rigorous, inclusive, defensible and transparent – requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation and negotiation. The authors review key methods and discuss case-study examples based in their experiences in communities, boardrooms, and stakeholder meetings. The goal of this book is to lay out a compelling guide that will change how you think about making environmental decisions. Visit www.wiley.com/go/gregory/ to access the figures and tables from the book.
Author: V. Alaric Sample
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 392
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Book Description
Particularly about forests in the USA.
Author: Anthony J. Jakeman
Publisher: Elsevier
ISBN: 0080915302
Category : Science
Languages : en
Pages : 387
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Book Description
The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field. - State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers - Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage - Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions
Author: Andrzej P. Wierzbicki
Publisher: Springer
ISBN: 9789048154647
Category : Mathematics
Languages : en
Pages : 0
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Book Description
The complexity of issues requiring rational decision making grows and thus such decisions are becoming more and more difficult, despite advances in methodology and tools for decision support and in other areas of research. Globalization, interlinks between environmental, industrial, social and political issues, and rapid speed of change all contribute to the increase of this complexity. Specialized knowledge about decision-making processes and their support is increasing, but a large spectrum of approaches presented in the literature is typically illustrated only by simple examples. Moreover, the integration of model-based decision support methodologies and tools with specialized model-based knowledge developed for handling real problems in environmental, engineering, industrial, economical, social and political activities is often not satisfactory. Therefore, there is a need to present the state of art of methodology and tools for development of model-based decision support systems, and illustrate this state by applications to various complex real-world decision problems. The monograph reports many years of experience of many researchers, who have not only contributed to the developments in operations research but also succeeded to integrate knowledge and craft of various disciplines into several modern decision support systems which have been applied to actual complex decision-making processes in various fields of policy making. The experience presented in this book will be of value to researchers and practitioners in various fields. The issues discussed in this book gain in importance with the development of the new era of the information society, where information, knowledge, and ways of processing them become a decisive part of human activities. The examples presented in this book illustrate how how various methods and tools of model-based decision support can actually be used for helping modern decision makers that face complex problems. Overview of the contents: The first part of this three-part book presents the methodological background and characteristics of modern decision-making environment, and the value of model-based decision support thus addressing current challenges of decision support. It also provides the methodology of building and analyzing mathematical models that represent underlying physical and economic processes, and that are useful for modern decision makers at various stages of decision making. These methods support not only the analysis of Pareto-efficient solutions that correspond best to decision maker preferences but also allow the use of other modeling concepts like soft constraints, soft simulation, or inverse simulation. The second part describes various types of tools that are used for the development of decision support systems. These include tools for modeling, simulation, optimization, tools supporting choice and user interfaces. The described tools are both standard, commercially available, and nonstandard, public domain or shareware software, which are robust enough to be used also for complex applications. All four environmental applications (regional water quality management, land use planning, cost-effective policies aimed at improving the European air quality, energy planning with environmental implications) presented in the third part of the book rely on many years of cooperation between the authors of the book with several IIASA's projects, and with many researchers from the wide IIASA network of collaborating institutions. All these applications are characterized by an intensive use of model-based decision support. Finally, the appendix contains a short description of some of the tools described in the book that are available from IIASA, free of charge, for research and educational purposes. The experiences reported in this book indicate that the development of DSSs for strategic environmental decision making should be a joint effort involving experts in the subject area, modelers, and decision support experts. For the other experiences discussed in this book, the authors stress the importance of good data bases, and good libraries of tools. One of the most important requirements is a modular structure of a DSS that enhances the reusability of system modules. In such modular structures, user interfaces play an important role. The book shows how modern achievements in mathematical programming and computer sciences may be exploited for supporting decision making, especially about strategic environmental problems. It presents the methodological background of various methods for model-based decision support and reviews methods and tools for model development and analysis. The methods and tools are amply illustrated with extensive applications. Audience: This book will be of interest to researchers and practitioners in the fields of model development and analysis, model-based decision analysis and support, (particularly in the environment, economics, agriculture, engineering, and negotiations areas) and mathematical programming. For understanding of some parts of the text a background in mathematics and operational research is required but several chapters of the book will be of value also for readers without such a background. The monograph is also suitable for use as a text book for courses on advanced (Master and Ph.D.) levels for programs on Operations Research, decision analysis, decision support and various environmental studies (depending on the program different parts of the book may be emphasized).
Author: Derek Armitage
Publisher: UBC Press
ISBN: 0774859725
Category : Nature
Languages : en
Pages : 362
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Book Description
In Canada and around the world, new concerns with adaptive processes, feedback learning, and flexible partnerships are reshaping environmental governance. Meanwhile, ideas about collaboration and learning are converging around the idea of adaptive co-management. This book provides a comprehensive synthesis of the core concepts, strategies, and tools in this emerging field, informed by a diverse group of researchers and practitioners with over two decades of experience. It also offers a diverse set of case studies that reveal the challenges and implications of adaptive co-management thinking.
Author: Frada Burstein
Publisher: Springer Science & Business Media
ISBN: 3540487166
Category : Business & Economics
Languages : en
Pages : 827
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Book Description
As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, it contains more than 70 chapters that approach decision support systems from a wide variety of perspectives. These range from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into ten major sections that novices and experts alike will refer to for years to come.
