...are now providing greater opportunities Geographic Information Science research to embed spatial modeling and visualization concepts into spatial decision support systems. Improvements in spatial representation formalisms and computational processing capabilities have influenced how geographic problems are described, visualized, and modeled in space and time. One drawback, however, is that existing models and analytical approaches, as well as cutting-edge geo-visual interfaces and tools, are often purely theoretical or are developed for hypothetical or non-real data. Hence, they can be viewed as toys for developing "what if?." scenarios (Couclelis 2005). This critique can be addressed by situating the spatial decision support system in a real-world context and rigorously evaluating its outcome. Consequently, specific implementations of such spatial decision...

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