Sugumaran / Degroote Spatial Decision Support Systems

Principles and Practices
Erscheinungsjahr 2010
ISBN: 978-1-4200-6212-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 508 Seiten

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:

- Presents an introduction to SDSS and the evolution of SDSS

- Covers the essential and optional components of SDSS

- Focuses on the design and implementation of SDSS

- 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.

Zielgruppe

Computer engineers.

Autoren/Hrsg.

Sugumaran, Ramanathan

Degroote, John

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Inhaltsverzeichnis

Introduction
Spatial Decision Making What Are Spatial Decisions? Types of Spatial Decisions Spatial Decision-Making Problems
Spatial Decision-Making Process
Need for Decision Support Systems
Definition of SDSS
SDSS Characteristics
Types or Flavors of SDSS

Evolution and Trends in SDSS
Origins of SDSS
Core Drivers for the Development of Spatial Decision Support Technology Information and Communication Technology Spatial Data Availability Applications Users, Developers, and User Interfaces Spatially Explicit Modeling Expert Domain Knowledge
DSS-Based Evolution DSS to SDSS
GIS-Based Evolution GIS to SDSS
SDSS Progression Introduction Phase (1976–1989) Integration Phase (1990–2000) Implementation Phase (2000s)
Related and Important Literature
Important Contributors to SDSS Development
Suggested Readings
DSS

GIS

SDSS

Components of SDSS I: Geographic Information Systems
Components of Traditional DSS and GIS
Components of SDSS
Geographical Information Systems (GIS) Overview History of Spatial Information and Data Use Definitions of GIS Coordinate Systems Data Models Vector Data Model Raster Data Model Raster versus Vector Spatial Data Collection Database Management Data Considerations Spatial Data Exploration, Processing, and Analysis Map Data Exploration Data Identification, Examination, and Query Vector Processing and Analysis Buffering Spatial Overlay Pattern Analysis and Spatial Statistics Routing and Network Analysis Raster Data Analysis Local Operations Neighborhood Operations Zonal Operations Data Visualization and Cartography GIS Software
Appendix A: Spatial Data Sources for the United States
Appendix B: Global Spatial Data Sources
Appendix C: Links for Lists of Commercial and Open Source GIS Software

Components of SDSS II
Model Management Component
Modeling Techniques in SDSS Generic Models Boolean Overlays Weighted Linear Combination Analytical Hierarchy Process Ordered Weighted Approach Artificial Neural Networks Cellular Automata Genetic Algorithms Agent-Based Models Fuzzy Modeling Techniques Application-Specific Models
Dialog Management Component
Stakeholders Component (SC)
Knowledge Management Component

SDSS Software
Existing SDSS Software GIS Software Used in SDSS Problem-Specific SDSS Domain-Level SDSS Generic SDSS IDRISI Macro Modeler ArcGIS ModelBuilder ERDAS IMAGINE Open Source Software Open-SDSS

Building SDSS Software
SDSS Software Components Common Software for Utilization in SDSS Development Spatial Data Collection, Management, Analysis, and Visualization Software Relational Database Management Software Modeling Software Knowledge Management Software SDSS Development by Software Integration Integration Technologies Integration Strategies Integration Issues
Design and Development of SDSS from Scratch
Enabling Technologies for the Development of Desktop SDSS Programming Languages Application Development Environments Spatial Libraries SDSS Generator—Geonamica
Web-Based SDSS Development and Architecture Cloud Computing

Building Desktop SDSS
SDSS Development Considerations
SDSS Development Process
SDSS Development Examples Spreadsheet-Based AHP SDSS (Microsoft Excel) SpreadsheetSDSS Plug-in Customizing Existing Desktop GIS (ArcGIS) Creation of a New Generic SDSS Program

Building Web-Based SDSS
Web-Based SDSS Developed with ArcGIS Server Web-Based SDSS for Environmentally Sensitive Areas
Web-Based SDSS Development with Open Source Software Software Installation Software Used Architecture Used and Implementation Open Source SDSS Download and Execution Detailed Explanation and Code Python Modules View Templates

SDSS Applications
Reference Collection, Database Creation, and Web-Portal Development Literature Compilation SDSS Database Development Web Portal Development
Publication Sources
SDSS Application Domains Natural Resources Management Environmental Urban Agriculture Utility/Communication/Energy and Transportation Business Other Major Application Domains

SDSS Challenges and Future Directions
Technical Challenges Spatial Data Management Component Challenges Model Management Component Model Selection or Development Model Integration Model Usability and Interpretation of Results Dialog Management Component Challenges User Interfaces Output Presentation and Evaluation
Technological Challenges
Social, Policy, and Organizational Challenges
Educational Challenges
Future Trends and Directions
Each chapter starts with Learning Objectives and an Introduction, and concludes with a Summary and References

Über Autor(innen)

Dr. Ramanathan Sugumaran is Professor of Geography and Director of GeoTREE Center at the University of Northern Iowa. He has over nineteen years of research experience in remote sensing, geographic information systems (GIS), Global Positioning Systems (GPS), and spatial decision support systems (SDSS) with applications for natural resources and environmental planning and management.

Dr. Sugumaran has served as PI or Co-PI on over $5 million worth of research grants funded by the National Aeronautics and Space Administration (NASA), Raytheon Corp., the National Oceanic and Atmospheric Administration (NOAA), the U.S. Department of Defense (DOD), the U.S. Department of Agriculture (USDA), Missouri Department of Natural Resources (MDNR), the U.S. Department of Transportation (DOT), and the U.S. Fish and Wildlife Service. He has also published numerous journal articles and presented more than one hundred papers at national and international conferences. Dr. Sugumaran has two PhDs—a PhD in geography from the University of Edinburgh in the United Kingdom and one from the University of Baroda, India. For the past ten years, he has developed and taught several courses and advised more than twenty students on their masters theses. Dr. Sugumaran has also been a recipient of several academic awards that include the outstanding graduate faculty teaching award, Outstanding Scholar award, and Veridian Community Engagement Award.

John DeGroote is a GeoInformatics Scientist at the GeoTREE Center at the University of Northern Iowa. He has been actively applying geospatial technologies for environmental and natural resource applications for nine years. He has experience working on a wide range of issues with a diverse set of investigators including hydrologists, soil scientists, ecologists, and economists. He has extensive experience in developing custom GIS and SDSS applications, using programming and database development, for use by researchers and environmental managers. John has authored or co-authored numerous peer-reviewed articles concerning the use of geospatial technologies for a variety of application domains. He has also presented research at numerous national and international conferences.