%0 Conference Proceedings %T Ways of Visualizing Data on Curves %+ University of Edinburgh %+ City University London %+ Analysis and Visualization (AVIZ) %A Bach, Benjamin %A Perin, Charles %A Ren, Qiuyuan %A Dragicevic, Pierre %< avec comité de lecture %B TransImage 2018 - 5th Biennial Transdisciplinary Imaging Conference %C Edinburgh, United Kingdom %P 1-14 %8 2018-04-18 %D 2018 %R 10.6084/m9.figshare.6104705 %K Information visualization %K Geographic visualization %K Temporal visualization %K Curves %Z Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers %X This paper reviews the many ways curves are used to encode data in information visualization. As part of our review, we introduce a curve-based visualization framework where data can be encoded in two major ways: i) through a curve’s shape (a process we call embedding) and ii) through a curve’s local visual attributes (a process we call enrichment). Our framework helps describing and organizing the rich design space of curve-based data visualizations, and offer inspiration for novel data visualizations. %G English %2 https://inria.hal.science/hal-01818137/document %2 https://inria.hal.science/hal-01818137/file/Bach2018ways%20%281%29.pdf %L hal-01818137 %U https://inria.hal.science/hal-01818137 %~ CNRS %~ INRIA %~ UNIV-PSUD %~ INRIA-SACLAY %~ INRIA_TEST %~ TESTALAIN1 %~ UMR8623 %~ CENTRALESUPELEC %~ INRIA2 %~ UNIV-PARIS-SACLAY %~ UNIV-PSUD-SACLAY %~ INRIA-SACLAY-2015 %~ CENTRALESUPELEC-SACLAY %~ LISN %~ GS-ENGINEERING %~ GS-COMPUTER-SCIENCE %~ LISN-AVIZ %~ TEST3-HALCNRS %~ INRIA-ROYAUMEUNI