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A Practical Taxonomy Of Methods And Literature For Managing Uncertain Spatial Data In Geographic Information Systems, Madjid Tavana, Weiru Liu, Paul Elmore, Frederick E. Petry, Brian S. Bourgeois
A Practical Taxonomy Of Methods And Literature For Managing Uncertain Spatial Data In Geographic Information Systems, Madjid Tavana, Weiru Liu, Paul Elmore, Frederick E. Petry, Brian S. Bourgeois
Business Systems and Analytics Faculty Work
Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid …