A common task with visualization is visual pattern seeking and object/feature recognition (Logothetis & Sheinberg, 1996). Do you have a trend that emerges once you plot your data or draw your map? E.g., Did a lot of birds migrate in fall? Is majority of 80-year-olds getting sick when it is really hot? Are the dense gas clouds occur in certain time periods or between two large masses in space? In examples such as these, the viewers will try to attempt identifying patterns based on some criteria. Conversely, detecting anomalies and outliers is also a pattern detection task (these two are inherently linked, i.e., to be able to tell the anomaly, we would have to identify the ‘usual’). Figure 3 shows two multiple-linked view examples in which the viewers are interested in understanding if a particular set of points in the scatterplot may have a geographic/spatial explanation.