GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map Academic Article uri icon

abstract

  • AbstractData containing geospatial semantics, such as geotagged tweets, travel blogs, and crime reports, associates natural language texts with geographical locations. This paper presents a lensbased visual interaction technique, GTMapLens, to flexibly browse the geotext 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 drilldown studies. Geotext 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 geotext data. A hierarchical data model enables the interactive lens operations by accelerated data retrieval from a geotext database. Evaluation with realworld datasets is presented to show the usability and effectiveness of GTMapLens.

published proceedings

  • COMPUTER GRAPHICS FORUM

author list (cited authors)

  • Ma, C., Zhao, Y. e., Al-Dohuki, S., Yang, J., Ye, X., Kamw, F., & Amiruzzaman, M. d.

citation count

  • 4

complete list of authors

  • Ma, Chao||Zhao, Ye||Al-Dohuki, Shamal||Yang, Jing||Ye, Xinyue||Kamw, Farah||Amiruzzaman, Md

publication date

  • June 2020

publisher