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Abstract:
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Geographic Information Systems (GIS) provide researchers with flexibility, information and methods for displaying the information visually. Researchers typically view the results as fixed although uncertainty and error are possible. This error affects many aspects of GIS; in vector data it affects coordinate features, line features, polygon features, and the relationships between them. Thus the error is significant in establishing existence of important features such as roads, buildings, streams, and so on. We provide a quick overview of existing work on use of stochastic models in GIS and detail extensions and new innovations in this area. We will also explore the applications of statistical methodologies in modeling the error structure in vector-based GIS data.
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