Chapter 4 Adjustable GLCs for Decreasing Occlusion and Pattern Simplification Simplicity is the ultimate sophistication. Leonardo da Vinci Occlusion is one of the major problems for visualization methods in finding the patterns in the n-D data. This chapter describes the methods for decreasing the occlusion, and pattern simplification in different General Line Coordinates by adjusting GLCs to the given data via shifting, relocating, and scaling coordinates. In contrast, in Parallel and Radial Coordinates such adjustments of parameters are more limited. Below these adjustment transformations are applied to the Radial, Parallel, Shifted Paired, Circular and n-Gon Coordinates. Cognitive load can be significantly decreased, when a more complex visualization of the same data is simplified. 4.1 Decreasing Occlusion by Shifting and Disconnecting Radial Coordinates In Radial Coordinates, the different n-D data points occlude each other, when their values are close to the common coordinate origin, because that area is small. Figure 4.1 illustrates this occlusion, where it is impossible to see the full difference between the three 8-D points shown as red, green, and blue lines. The Unconnected Radial Coordinates (URC) shown in Fig. 4.2 resolve this occlusion issue by starting all coordinates at the edge of the circle instead of at the common origin, i.e., by shifting all of the coordinates to that edge. Thus, more freedom, in locating coordinates, shows its benefits in the decrease of the occlusion in Radial Coordinates. The same origin-based occlusion takes place in the Cartesian Coordinates, Collocated Cartesian, and Collocated Star Coordinates, because all of them have a common origin of all coordinates. The way to resolve this origin-base occlusion is the same as for the Radial Coordinates—shifting the coordinates from the common © Springer International Publishing AG 2018 B. Kovalerchuk, Visual Knowledge Discovery and Machine Learning, Intelligent Systems Reference Library 144, https://doi.org/10.1007/978-3-319-73040-0_4 77