TY - JOUR
T1 - GTMapLens
T2 - Interactive Lens for Geo-Text Data Browsing on Map
AU - Ma, Chao
AU - Zhao, Ye
AU - AL-Dohuki, Shamal
AU - Yang, Jing
AU - Ye, Xinyue
AU - Kamw, Farah
AU - Amiruzzaman, Md
N1 - Publisher Copyright:
© 2020 The Author(s) Computer Graphics Forum © 2020 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - 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.
AB - 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.
KW - CCS Concepts
KW - • Information Systems → Information Interfaces and Presentation; Information Systems Applications
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U2 - 10.1111/cgf.13995
DO - 10.1111/cgf.13995
M3 - Article
AN - SCOPUS:85088146764
SN - 0167-7055
VL - 39
SP - 469
EP - 481
JO - Computer Graphics Forum
JF - Computer Graphics Forum
IS - 3
ER -