Browsing by Author "Wunderlich, Marcel"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Influence of Container Resolutions on the Layout Stability of Squarified and Slice-And-Dice Treemaps
    (The Eurographics Association, 2020) Knauthe, Volker; Ballweg, Kathrin; Wunderlich, Marcel; Landesberger, Tatiana von; Guthe, Stefan; Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta
    In this paper, we analyze the layout stability for the squarify and slice-and-dice treemap layout algorithms when changing the visualization containers resolution. We also explore how rescaling a finished layout to another resolution compares to a recalculated layout, i.e. fixed layout versus changing layout. For our evaluation, we examine a real world use-case and use a total of 240000 random data treemap visualizations. Rescaling slice-and-dice or squarify layouts affects the aspect ratios. Recalculating slice-and-dice layouts is equivalent to rescaling since the layout is not affected by changing the container resolution. Recalculating squarify layouts, on the other hand, yields stable aspect ratios but results in potentially huge layout changes. Finally, we provide guidelines for using rescaling, recalculation and the choice of algorithm.
  • Thumbnail Image
    Item
    Visual Analysis of Probabilistic Infection Contagion in Hospitals
    (The Eurographics Association, 2019) Wunderlich, Marcel; Block, Isabelle; von Landesberger, Tatiana; Petzold, Markus; Marschollek, Michael; Scheithauer, Simone; Schulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michael
    Clinicians and hygienists need to know how an infection of one patient could be transmitted among other patients in the hospital (e.g., to prevent outbreaks). They need to analyze how many and which patients will possibly be infected, how fast the infection could spread, and which contacts are likely to transfer the infections within the hospital. Currently, infection contagion is modeled and visualized for populations only on an aggregate level, without identification and exploration of possible infection between individuals. We present a novel visual analytics approach that simulates the contagion in a contact graph of patients in a hospital. We propose a clustering approach to identify probable contagion scenarios in the simulation ensemble. Furthermore, our novel visual design for detailed assessment of transmission shows the temporal development of contagion per patient in one view. We demonstrate the capability of our approach to a real-world use case in a German hospital.
  • Thumbnail Image
    Item
    Visual-Interactive Exploration of Pathogen Outbreaks in Hospitals
    (The Eurographics Association, 2019) von Landesberger, Tatiana; Wunderlich, Marcel; Baumgartl, Tom; Höhn, Markus; Marschollek, Michael; Scheithauer, Simone; Madeiras Pereira, João and Raidou, Renata Georgia
    Clinicians and hygienists need to identify outbreaks and transmission patterns of pathogen infections among hospital patients. Such analysis requires the combination of the microbiological laboratory results with the location and contacts among patients. Currently, this is a cumbersome manual and time-consuming task that includes reading multiple textual reports. We present a visual-interactive interface that offers a set of linked visualizations for the identification of outbreaks and patient contacts. The evaluation of our interface with clinicians and hygienists has shown a high applicability for the task and ease of use.
  • Thumbnail Image
    Item
    Width-Scale Bar Charts for Data with Large Value Range
    (The Eurographics Association, 2020) Höhn, Markus; Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von; Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta
    Data sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale is used in these cases. However, the logarithmic scale suffers from non-linearity. Recently, scale-stack bar charts and magnitude markers, improve the readability of values. However, they have other disadvantages such as various scales or several objects for visualizing one value. We propose the width-scale bar chart that uses width, height and color to cover a large value range within one linear scale. A quantitative user study shows advantages of our design - especially for reading values.