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Although surfaces are central to geographical analysis and geographical information systems, data is often not precise because of the uncertainty inherent in GIS and remote sensing data acquisition systems. "Fuzzy Surfaces in GIS and Geographical Analysis" presents methods to address such uncertainties within the framework of GIS, limiting analysis of surfaces to three types: intervals, fuzzy sets, and possibility distributions. It defines the mathematics associated with each method, develops related algorithms, and illustrates various applications.