Browsing by Author "Weinkauf, Tino"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Fast Design Space Rendering of Scatterplots
    (The Eurographics Association, 2020) Santala, Simo; Oulasvirta, Antti; Weinkauf, Tino; Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta
    The design space of scatterplots consists of a number of parameters such as marker size and shape, image width and aspect ratio, and opacity. Different parameters yield different visual impressions of the scatterplot. Perceptual optimization of scatterplots means finding the best design parameters to support a given visualization task. This requires rendering thousands of design variations. We describe an image-based method for rendering scatterplots, which is tailored to this scenario: it enables quick updates of the design by re-using previously calculated intermediate results, and is independent of the data set size. Our approach outperforms the classic method of rendering scatterplots, i.e., drawing each marker individually onto an image, and can therefore dramatically speed up the perceptual optimization of scatterplots. We provide an open-source implementation and an online service for our method.
  • Thumbnail Image
    Item
    InfraVis - The Swedish Research Infrastructure for Visualization Support
    (The Eurographics Association, 2025) Weinkauf, Tino; Romero, Mario; Besançon, Lonni; Ahlstedt, Jonas; Berendt, Filip; Billger, Monica; Danielsson, Karin; Davies, Melvyn B.; Filipsson, Helena; Gelfgren, Stefan; Kerren, Andreas; Larsson, Emanuel; Latino, Fabio; Liliequist, Evelina; Nyström, Ingela; Paulsson, Kajsa; Podkorytova, Maria; Pirzamanbein, Behnaz; Sjöström, Mårten; Sopasakis, Alexandros; Thuresson, Björn; Westin, Jonathan; Ynnerman, Anders; Gillmann, Christina; Krone, Michael; Reina, Guido; Wischgoll, Thomas
    Essentially all academic research of today relies on analysis of data from a wide range of sources. Several underpinning, and rapidly developing, technologies are supporting the analysis of this data. Visualization serves as an interface to this ecosystem of tools and methods and integrates them into environments supporting scientific workflows, effectively sharing cognitive load between computers and humans. There is, however, a gap between the state-of-the-art in visual data analysis and current wide-spread academic practice. Support for the introduction of new, improved and tailored, visual data analysis environments thus has the potential to address challenges involving large and complex data, creating competitive advantages for researchers. To fill the gap and capitalize on this opportunity, the InfraVis initiative has been created in Sweden with the mission to operate an infrastructure consisting of visualization experts, software solutions, and access to high-end visualization laboratories. Users of InfraVis are offered assistance through a national helpdesk with rapid response times as well as more in-depth projects addressing specific data and software challenges. InfraVis provides software solutions based on development within connected research groups, curation of international software and best practice, and user training in the form of courses, seminars and on-line documentation. To build an infrastructure with national coverage, we have pooled together nine visualization environments in Sweden interconnected in a nodal structure. The nodes are hosted in proximity to research environments in visualization, which enables direct access to the research front as well as to state-of-art facilities. The governance structure of InfraVis is based on the leading researchers in visualization in Sweden as well as an international advisory board.