Visualizing Uncertainty in Geo-spatial Data
Alex Pang · 2001
This paper focuses on how computer graphics and visualization can help users access and understand the increasing volume of geo-spatial data. In particular, this paper highlights some of the visualization challenges in visualizing uncertainty associated with geo-spatial data. Uncertainty comes in a variety of forms and representations, and require different techniques for presentation together with the underlying data. In general, treating the uncertainty values as additional variables of a multivariate data set is not always the best approach. We present some possible approaches and further challenges using two illustrative application domains