Writing and editing documents is often an iterative process. Understanding the evolution of document editing can help improve and shape future writing projects. Visualizing the document editing process can assist in this, by providing a global overview of the process, as well as enabling detailed comparison between document versions. We propose an approach for analyzing iterative writing and editing processes visually. To support the understanding of these processes, we base our interactive visualization approach on the layout of the document and provide multiple views focusing on different aspects of the document evolution. Our approach is text token agnostic to increase its generalizability. We exemplify its usage with the process of scientific writing, applying it to one of our own paper writing projects.

The visualization and interactive exploration of geo-referenced networks poses challenges if the network’s nodes are not evenly distributed. Our approach proposes new ways of realizing animated transitions for exploring such networks from an ego-perspective. We aim to reduce the required screen estate while maintaining the viewers’ mental map of distances and directions. A preliminary study provides first insights of the comprehensiveness of animated geographic transitions regarding directional relationships between start and end point in different projections. Two use cases showcase how ego-perspective graph exploration can be supported using less screen space than previous approaches.

In visualization research, reproducibility is often not taken into account as a design goal. Reproducibility is desirable beyond ensuring scientific rigor: In the long-term, it helps advance sustainable visualization research, and in the short-term, it supports domain experts using the visualizations in their daily work. Designing for and ensuring reproducibility introduces costs, such as as storage cost or infrastructure maintenance. We propose a typology of reproducibility aspects that can be considered during visualization design. We then propose practical strategies to improve reproducibility and discuss their initial and running costs, their limits, and their tradeoffs. Finally, we discuss three concrete visualization approaches in the context of our typology and strategies.

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.