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        "id": "grammatikaki-2025-htr",
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        "title": "How to represent landmark trees in digital 3D maps? An automated workflow and user study",
        "date": "2025-05",
        "abstract": "Digital 3D maps created from digital elevation models (DEMs) cannot properly capture trees due to the 2.5D nature of the DEMs. Leveraging publicly available DEMs and orthophotos as the only input data sources, we present a fully automatic pipeline that models landmark trees. We conducted two crowdsourced user studies to evaluate visual appeal and scene recognizability using two different levels of detail of tree representations generated using our pipeline. Users found highly detailed trees much more appealing, and also easier and more trustworthy to recognize, with open-ended responses revealing key factors like realism, coherence, and tree shape influencing their preferences. However, the ability to recognize a location seems to depend more on the surrounding environment than the representation of the landmark tree in focus. We discuss the implications of these results for digital 3D outdoor maps.",
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        "doi": "10.1080/15230406.2025.2489543",
        "issn": "1545-0465",
        "journal": "Cartography and Geographic Information Science",
        "open_access": "yes",
        "pages": "18",
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        "pages_to": "18",
        "publisher": "TAYLOR & FRANCIS INC",
        "volume": "Number 0",
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        "keywords": [
            "Digital 3D maps",
            "landmarks",
            "trees",
            "user study",
            "modeling",
            "rendering"
        ],
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    },
    {
        "id": "xmas-2024",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2024",
        "date": "2024-12",
        "abstract": null,
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        "authors": [
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        ],
        "research_areas": [
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        ],
        "keywords": [
            "Christmas",
            "Digital Elevation Models",
            "L-system-based modeling"
        ],
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            {
                "description": "Christmas Card as PDF",
                "filetitle": "Card",
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    {
        "id": "tanaka-2024-vor",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/209946",
        "title": "Visualization of Relationships between Precipitation and River Water Levels",
        "date": "2024",
        "abstract": "Observation of precipitation changes is important for a variety of purposes such as predicting river levels. Previous studies for data visualization of precipitation and river water levels plotted graphs and color bars were many stations on a map. Instead of such visualizations on a map, we construct a graph to imitate a connected structure such as a tributary of a river in this study. Our method displays two pseudo-coloring sparklines at nodes of the graph as the stations. The method can visualize the time difference between the increase in precipitation upstream and the increase in river water level downstream. Users can observe precipitation and river water levels at different observation points. Our method uses a Delaunay diagram connecting gauging positions to interpolate and calculate precipitation at river level observation points. This avoids the discrepancy between observation points.In addition, we adjust the amount of visualized information by skipping the display of several observation points based on the similarity of the time-series data at each station, which is calculated by applying the dynamic time-stretching method. The visualization results show that downstream, once the water level rises, it tends to take longer for the water level to drop. In addition, the results show that a time lag occurs between the increase in precipitation and the rise in river levels in the mainstream, while tributaries have little time lag. In addition, data on rainfall and river levels at the same station over multiple periods and their relationship are plotted as scatter plots. The scatter plots make it easier to compare data from multiple periods at the same time than two-tone pseudo coloring sparklines.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
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        "authors": [
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            1937,
            1850,
            1410,
            166,
            1754
        ],
        "booktitle": "2024 28th International Conference Information Visualisation (IV)",
        "date_from": "2024-07-22",
        "date_to": "2024-07-26",
        "doi": "10.1109/IV64223.2024.00020",
        "event": "2024 28th International Conference Information Visualisation (IV)",
        "isbn": "979-8-3503-8016-3",
        "lecturer": [
            5438
        ],
        "location": "Coimbra",
        "pages": "6",
        "pages_from": "58",
        "pages_to": "63",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Geographic Information",
            "Meteorological Information",
            "River Water level",
            "Interpolation",
            "Precipitation",
            "Rain",
            "Image color analysis",
            "Data visualization",
            "Rivers",
            "Space stations",
            "Bars"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/tanaka-2024-vor/",
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    }
]