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

Document Type

Article

Publication Date

6-1-2020

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.

Identifier

85088146764 (Scopus)

Publication Title

Computer Graphics Forum

External Full Text Location

https://doi.org/10.1111/cgf.13995

e-ISSN

14678659

ISSN

01677055

First Page

469

Last Page

481

Issue

3

Volume

39

Grant

1535031

Fund Ref

National Science Foundation

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