GTMapLens: Interactive Lens for Geo‐Text Data Browsing on Map
GTMapLens: Interactive Lens for Geo‐Text Data Browsing on Map
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DOI:
10.1111/cgf.13995
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发表时间:
2020-06
影响因子:
2.5
通讯作者:
Chao Ma;Ye Zhao;Shamal Al-Dohuki;Jing Yang;X. Ye;Farah Kamw;Md Amiruzzaman
中科院分区:
文献类型:
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作者:
Chao Ma;Ye Zhao;Shamal Al-Dohuki;Jing Yang;X. Ye;Farah Kamw;Md Amiruzzaman
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.