Title :
Taggram: Exploring Geo-data on Maps through a Tag Cloud-Based Visualization
Author :
Nguyen, Dinh-Quyen ; Schumann, Heidrun
Author_Institution :
Inst. of Comput. Sci., Univ. of Rostock, Rostock, Germany
Abstract :
Searching and exploring on digital maps are normally performed through simple text boxes and zoom-and-pan interfaces. In this paper, however, we present a novel technique, namely Taggram, which combines texts onto maps to support geo-tagged data exploration. It is designed to show geo-tagged data in form of size-varied and colorized tags, benefiting by the concepts of Tag Clouds, and to support exploring those data interactively through a fisheye menu adaptation. The technique was demonstrated for geo-tagged data exploration; however, as other thematic geo-data can be partially represented in abstract form of texts, Taggram can be a method for the presentation and exploration of such geo-data in other application scenarios.
Keywords :
abstract data types; data visualisation; geography; interactive systems; Taggram; abstract form; digital maps; fisheye menu adaptation; geo-tagged data exploration; interactive data exploration; tag cloud-based visualization; thematic geo-data; zoom-and-pan interfaces; Clouds; Data visualization; Joining processes; Shape; Skeleton; Tag clouds; Visualization; Cartography; Geo-Tagging; Map Labeling; Tag Clouds; Text Visualization;
Conference_Titel :
Information Visualisation (IV), 2010 14th International Conference
Conference_Location :
London
Print_ISBN :
978-1-4244-7846-0