Visualizing Uncertainty in Natural Hazards


Good visualizations are designed to answer a particular question or the needs of a particular task. They are created as comprehensively as possible taking into account numerous factors such as the application domain, established conventions in the community, nature of the question or task, technical constraints such as interactivity or large data sets, presentation concerns such as visual clutter and complexity, and the quality of the data. Care must also be taken to ensure that any artifacts are not inadvertently introduced into the visualization. This paper provides an overview of current visualization practices and techniques that incorporate data uncertainty in the presentations. Emphasis is placed on geospatial data sets. The paper also describes some of the challenges and research directions in uncertainty visualization research.



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