Spatial Decision Support Systems : Principles and Practices

ISBN-13: 9781420062090 / Angielski / Twarda / 2009 / 469 str.

Ramanathan Sugumaran;Vijayan Sugumaran

Opis

Although interest in Spatial Decision Support Systems (SDSS) continues to grow rapidly in a wide range of disciplines, students, planners, managers, and the research community have lacked a book that covers the fundamentals of SDSS along with the advanced design concepts required for building SDSS.

Filling this need, Spatial Decision Support Systems: Principles and Practices provides a comprehensive examination of the various aspects of SDSS evolution, components, architecture, and implementation. It integrates research from a variety of disciplines, including the geosciences, to supply a complete overview of SDSS technologies and their application from an interdisciplinary perspective.

This groundbreaking reference provides thorough coverage of the roots of SDSS. It explains the core principles of SDSS, how to use them in various decision making contexts, and how to design and develop them using readily available enabling technologies and commercial tools. The book consists of four major parts, each addressing different topic areas in SDSS:

1. Presents an introduction to SDSS and the evolution of SDSS
2. Covers the essential and optional components of SDSS
3. Focuses on the design and implementation of SDSS
4. Reviews SDSS applications from various domains and disciplines-investigating current challenges and future directions

The text includes numerous detailed case studies, example applications, and methods for tailoring SDSS to your work environment. It also integrates sample code segments throughout. Addressing the technical and organizational challenges that affect the success or failure of SDSS, the book concludes by considering future directions of this rapidly emerging field of study.

Spis treści

Introduction. Evolution and Trends in SDSS. SDSS Frameworks: Architectures and Implementation. Modeling Techniques for SDSS. Enabling Technologies for Future SDSS. Software and Tools. Implementing an SDSS – Case Study. SDSS Applications. Managerial Issues. Future Architectures/Systems/Applications.