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 - Funding Information:
The authors would like to thank the anonymous reviewers. This work was supported in part by the U.S. NSF under Grant 1535031, Grant 1535081, and Grant 1739491. Xinyue Ye is also supported by NJIT FSG FY20 Faculty Seed Grant Award and NSF OIA‐1937908.
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
UR - http://www.scopus.com/inward/record.url?scp=85088146764&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088146764&partnerID=8YFLogxK
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 -