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SurgeryCuts: Embedding Additional Information in Maps without Occluding Features
Author(s) -
Angelini M.,
Buchmüller Juri,
Keim Daniel A.,
Meschenmoser Philipp,
Santucci G.
Publication year - 2019
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13685
Subject(s) - zoom , computer science , viewport , embedding , artificial intelligence , image warping , context (archaeology) , distortion (music) , computer vision , computer graphics (images) , geography , amplifier , computer network , archaeology , bandwidth (computing) , petroleum engineering , engineering , lens (geology)
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.