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Building a Rule-Based Generalisation Service for Geovisualisation of Business Data

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Computational Science and Its Applications – ICCSA 2022 Workshops (ICCSA 2022)

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Abstract

Effective geovisualisation is characterised by the fact that the application context, the output medium and the visual-cognitive abilities of the targeted audience are carefully considered when it comes to an informed (carto)graphic representation of a spatial data set. In this way, an optimal visual communication and analysis of the spatial facts is made possible. An essential key to this is the absence of graphic conflicts that tend to impede proper visual perception. At the level of (carto)graphic modelling, this is achieved by application-specific generalisation measures that are bundled in a toolbox. In the automated generation of effective map graphics, these generalisation measures are used in a rule-based manner. To avoid specific graphical conflicts, interactive components are integrated into the processing chain that support expert generalisation solutions. To date, such tools, some of which work automatically, exist for specific visualisation systems and GIS only. A professional generalisation solution that is automated and can be implemented across systems and platforms is currently missing. Against this background this paper discusses a modular, web-based concept for the rule-based generalisation service of quantitative business data.

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Author information

Authors and Affiliations

  1. Faculty of Science, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476, Potsdam, Germany

    Marion Simon

  2. Computer Graphics System Group, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Potsdam, Germany

    Hartmut Asche

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  1. Marion Simon
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  2. Hartmut Asche
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Correspondence to Hartmut Asche .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Østfold University College, Halden, Norway

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  5. University of Cagliari, Cagliari, Italy

    Chiara Garau

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Simon, M., Asche, H. (2022). Building a Rule-Based Generalisation Service for Geovisualisation of Business Data. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13379. Springer, Cham. https://doi.org/10.1007/978-3-031-10545-6_34

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  • DOI: https://doi.org/10.1007/978-3-031-10545-6_34

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