GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map

Chao Ma, Ye Zhao, Shamal AL-Dohuki, Jing Yang, Xinyue Ye, Farah Kamw, Md Amiruzzaman

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)469-481
Number of pages13
JournalComputer Graphics Forum
Issue number3
StatePublished - Jun 1 2020

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design


  • CCS Concepts
  • • Information Systems → Information Interfaces and Presentation; Information Systems Applications


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