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Spatial Decision Support Systems
Principles and Practices
Ramanathan Sugumaran John DeGroote
Spatial decision support systems (SDSS) are designed to help decision makers solve complex spatially related problems and provide a framework for integrating (a) analytical and spatial modeling capabilities, (b) spatial and nonspatial data management, (c) domain knowledge, (d) spatial display capabilities, and (e) reporting capabilities. The use of SDSS in academic and business communities is increasing. For example, businesses are using sophisticated SDSS to analyze customer information for marketing, customer relationship management, and generating business intelligence to gain competitive advantage. Organizations are also using SDSS for traditional problems such as determining plant locations, where typically only ZIP code information is used. There is also growing interest from planners and managers of resource assessment, environmental analysis, geological exploration, remote sensing, business analyses, soil science, public health, and hazard analysis in developing spatial models and SDSS to support managerial decision making. As the use of SDSS proliferates, there is a great demand for SDSS-related publications, especially books that could be used for training students as well as professionals.
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