Attention guiding visualization of geospatial information

O. Swienty; M. Zhang; T. Reichenbacher

doi:10.1117/12.712583

28 October 2006 Attention guiding visualization of geospatial information

O. Swienty, M. Zhang, T. Reichenbacher

Proceedings Volume 6421, Geoinformatics 2006: Geospatial Information Technology; 642101 (2006) https://doi.org/10.1117/12.712583
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

The availability of high resolution satellite imagery and the increasing amounts of geographic data collections enable exploring geographic phenomena on the base of highly detailed and dense information. Therefore suitable methods for explorative geovisualization (GeoVis) must be developed to emphasize relevant information in the data. This paper focuses on the development, implementation, and evaluation of attention-guiding visualization with respect to human cortical information processing and theories of relevance on maps of urban areas. The main value of exploring geospatial information is the ability to promptly locate patterns and easily decode the information in order to make inferences. These objectives are reflected in the basic factors of selective visual attention; i.e. the interaction of top-down factors (e.g. knowledge) and bottom-up factors (sensory stimulation). Attention guiding visualization is bottom-up oriented and focuses on the salient visualization of the location of relevant geospatial objects. Therefore, we propose the use of graphical variables that are solely based on perception- and relevance- oriented design principles. By computing saliency maps which spatially encode salient locations of our developed visualization we emphasize that our work is a substantial contribution to the enhancement of an exploration system's efficiency.

Citation Download Citation

O. Swienty, M. Zhang, and T. Reichenbacher "Attention guiding visualization of geospatial information", Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 642101 (28 October 2006); https://doi.org/10.1117/12.712583

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