A Taxonomy of Strategies for Developing Spatial Decision Support System

作者: Luis Rafaeli Neto Silvio , Marcos Rodrigues

DOI: 10.1007/978-1-4615-4261-2_9

关键词:

摘要: Due to their extension and complexity, problems concerned with geographic space are usually classified as ill or unstructured. For these reasons decision-making processes (DMP) that conclude the selection of optimal satisfactory solutions require effective efficient means support. Spatial Decision Support Systems (SDSS) computer systems developed support DMP in which have dimensions whose structure is complex impossible delineate. These functionally composed data scientific models managed aim providing maximised DMP. The component represented by spatial one main obstacles be overcome for SDSS give Geographic Information (GIS) been a paradigm development strategies, fundamentally due capacity collect, store, handle data. modelling component, mathematical natural physical processes, implemented through specific software subsystems. Especially last seven years there has great interest accompanied proliferation adjacent technologies. Some authors attempted classify without, however, reaching generally accepted proposal. This lack clarity made detailed analysis existing new projects more difficult. aims this research were: a) identify analyse variables determine current application methodologies field SDSS; b) provide taxonomy methodologies, objectives being generic, general, practical; c) strategy presents greatest flexibility develop SDSS. was based on bibliographic survey part doctoral thesis first author. paper criticises relevant issues about different strategies respective produced. Three were identified guided strategies. proposes five taxonomic classes coupling GIS technology defined argues they sufficient categorise well suggest places expect Each class also exemplified number applied watershed domain. Within classes, analysed most likely show

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