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SurgeryCuts: Embedding Additional Information in Maps without Occluding Features
Authors:M. Angelini,Juri Buchmü  ller,Daniel A. Keim,Philipp Meschenmoser,G. Santucci
Abstract:Visualizing contextual information to a map often comes at the expense of overplotting issues. Especially for use cases with relevant map features in the immediate vicinity of an information to add, occlusion of the relevant map context should be avoided. We present SurgeryCuts, a map manipulation technique for the creation of additional canvas area for contextual visualizations on maps. SurgeryCuts is occlusion‐free and does not shift, zoom or alter the map viewport. Instead, relevant parts of the map can be cut apart. The affected area is controlledly distorted using a parameterizable warping function fading out the map distortion depending on the distance to the cut. We define extended metrics for our approach and compare to related approaches. As well, we demonstrate the applicability of our approach at the example of tangible use cases and a comparative user study.
Keywords:CCS Concepts     Human‐centered computing →   Geographic Visualization   Visualization Techniques   Information Visualization
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