%0 Journal Article %1 Franke_2021 %A Franke, Max %A Martin, Henry %A Koch, Steffen %A Kurzhals, Kuno %D 2021 %I The Eurographics Association and John Wiley & Sons Ltd. %J Computer Graphics Forum %K 2021 myown vis(us) vis-gis visus:frankemx visus:kochsn visus:kurzhako %N 3 %P 335--347 %R 10.1111/cgf.14311 %T Visual Analysis of Spatio-temporal Phenomena with 1D Projections %U https://diglib.eg.org/handle/10.1111/cgf14311 %V 40 %X It is crucial to visually extrapolate the characteristics of their evolution to understand critical spatio-temporal events such as earthquakes, fires, or the spreading of a disease. Animations embedded in the spatial context can be helpful for understanding details, but have proven to be less effective for overview and comparison tasks. We present an interactive approach for the exploration of spatio-temporal data, based on a set of neighborhood-preserving 1D projections which help identify patterns and support the comparison of numerous time steps and multivariate data. An important objective of the proposed approach is the visual description of local neighborhoods in the 1D projection to reveal patterns of similarity and propagation. As this locality cannot generally be guaranteed, we provide a selection of different projection techniques, as well as a hierarchical approach, to support the analysis of different data characteristics. In addition, we offer an interactive exploration technique to reorganize and improve the mapping locally to users' foci of interest. We demonstrate the usefulness of our approach with different real-world application scenarios and discuss the feedback we received from domain and visualization experts.

@article{Franke_2021, abstract = {It is crucial to visually extrapolate the characteristics of their evolution to understand critical spatio-temporal events such as earthquakes, fires, or the spreading of a disease. Animations embedded in the spatial context can be helpful for understanding details, but have proven to be less effective for overview and comparison tasks. We present an interactive approach for the exploration of spatio-temporal data, based on a set of neighborhood-preserving 1D projections which help identify patterns and support the comparison of numerous time steps and multivariate data. An important objective of the proposed approach is the visual description of local neighborhoods in the 1D projection to reveal patterns of similarity and propagation. As this locality cannot generally be guaranteed, we provide a selection of different projection techniques, as well as a hierarchical approach, to support the analysis of different data characteristics. In addition, we offer an interactive exploration technique to reorganize and improve the mapping locally to users' foci of interest. We demonstrate the usefulness of our approach with different real-world application scenarios and discuss the feedback we received from domain and visualization experts.}, added-at = {2021-06-21T12:44:11.000+0200}, author = {Franke, Max and Martin, Henry and Koch, Steffen and Kurzhals, Kuno}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ffb38a4cd74d2ab8cf52a0129e194775/maxfranke}, doi = {10.1111/cgf.14311}, interhash = {b18685a8f349c8a856e5d03304f31bb5}, intrahash = {ffb38a4cd74d2ab8cf52a0129e194775}, issn = {1467-8659}, journal = {Computer Graphics Forum}, keywords = {2021 myown vis(us) vis-gis visus:frankemx visus:kochsn visus:kurzhako}, language = {English}, month = {6}, number = 3, pages = {335--347}, publisher = {The Eurographics Association and John Wiley & Sons Ltd.}, timestamp = {2021-06-21T10:44:11.000+0200}, title = {Visual Analysis of Spatio-temporal Phenomena with 1D Projections}, url = {https://diglib.eg.org/handle/10.1111/cgf14311}, volume = 40, year = 2021 }