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Creators/Authors contains: "AL‐Dohuki, Shamal"

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  1. ; ; ; ; ; (, Journal of Geovisualization and Spatial Analysis)
    null (Ed.)
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  2. ; ; ; ; ; ; (, International Journal of Geographical Information Science)
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  3. ; ; ; ; ; (, IEEE Intelligent Transportation Systems Conference)
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  4. ; ; ; ; ; ; ; (, IEEE Computer Graphics and Applications)
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  5. ; ; ; ; ; (, IEEE Computer Graphics and Applications)
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  6. ; ; ; ; ; ; ; (, IEEE Transactions on Intelligent Transportation Systems)
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  7. ; ; ; ; ; ; (, Computer Graphics Forum)
    Abstract Data containing geospatial semantics, such as geotagged tweets, travel blogs, and crime reports, associates natural language texts with geographical locations. This paper presents a lens‐based visual interaction technique, GTMapLens, to flexibly browse the geo‐text data on a map. It allows users to perform dynamic focus+context exploration by using movable lenses to browse geographical regions, find locations of interest, and perform comparative and drill‐down studies. Geo‐text data is visualized in a way that users can easily perceive the underlying geospatial semantics along with lens moving. Based on a requirement analysis with a cohort of multidisciplinary domain experts, a set of lens interaction techniques are developed including keywords control, path management, context visualization, and snapshot anchors. They allow users to achieve a guided and controllable exploration of geo‐text data. A hierarchical data model enables the interactive lens operations by accelerated data retrieval from a geo‐text database. Evaluation with real‐world datasets is presented to show the usability and effectiveness of GTMapLens. 
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