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GTMapLens: Interactive Lens for Geo‐Text Data Browsing on Map
Author(s) -
Ma Chao,
Zhao Ye,
ALDohuki Shamal,
Yang Jing,
Ye Xinyue,
Kamw Farah,
Amiruzzaman Md
Publication year - 2020
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13995
Subject(s) - computer science , geospatial analysis , visualization , information retrieval , usability , geovisualization , semantics (computer science) , data visualization , context (archaeology) , information visualization , data mining , human–computer interaction , geography , cartography , archaeology , programming language
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.