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        "title": "Visualizing Tile-based Vector Data on 3D Terrain",
        "date": "2026",
        "abstract": "Visualizing geospatial data is an important part of interpreting interactive maps. The visualization must be concise, accurate, and user interactions should be processed in a timely manner. Two dimensional maps can use a hierarchical tiled data structure like vector tiles to achieve these requirements. Using this data structure allows the map to process only geospatial data that are relevant to the current viewport. Furthermore, it is possible to provide a level of detail that is currently relevant to the user. However, when the map uses three dimensional terrain, visualizing vector tiles introduces additional challenges that need special considerations. In this thesis, we provide a general solution that renders tile-based vector data accurately and in real time and addresses the problems that arise with the use of the third dimension. The work describes the individual components of the system, from the server that generates the vector tiles to the client that requests, processes, styles, and renders them.",
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        "doi": "10.34726/hss.2026.146472",
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            "Geospatial Data",
            "3D Map Visualization",
            "Vector Rendering",
            "Fractional Zoom",
            "Style Blending"
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        "title": "Alpine Maps Labels",
        "date": "2024-04-03",
        "abstract": "The goal of this project was to receive mountain peak names from a vector tile server, process this information and visualize them on the AlpineMapsOrg application. Initially we\nagreed on using basemap as the vector tile provider but after encountering some problems (mentioned below), we switched to a custom tile server approach that we developed to fill\nour needs.",
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        "id": "dworschak-2016-szcm",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantically Zoomable Choropleth Map",
        "date": "2016-09",
        "abstract": "Geographic visualizations, like choropleth maps, are used to visualize data on geographic\nregions. In this thesis a choropleth map was implemented to display quantities of\npublications of scientific texts and papers. With the use of a choropleth map the viewer\nis able to interpret how quantitative data changes on different geographic regions. The\nmain feature that distinguishes the implemented choropleth map from conventional ones\nis the use of map navigation. The choropleth map can be zoomed and panned to different\nmap regions. What makes this map navigation so special is the use of semantic zooming\nto allow the level of detail of the map to change on discrete zoom steps. The change\nof the level of detail means that administrative regions are being divided into smaller\nadministrative regions which are than again colorized individually to create a new, more\ndetailed, choropleth map. Other interactions with the choropleth map are introduced\nadditionally. The other interactions with the map range from the manipulation of the\nmap appearance to filtering the displayed data set.",
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        "research_areas": [
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