Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 469-481 |
| Number of pages | 13 |
| Journal | Computer Graphics Forum |
| Volume | 39 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 1 2020 |
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
Keywords
- CCS Concepts
- • Information Systems → Information Interfaces and Presentation; Information Systems Applications
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