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Multiview user interface coordination in browser-based geovisualization environments

Published: 05 November 2013 Publication History

Abstract

Modern-day geovisualization environments are complex systems that support interactive, multi-faceted exploration of spatio-temporal data. Such systems are often composed from a number of visualization tools, each with a pre-determined function of its own, integrated together into a single user interface. Supporting real-time coordination of user interactions across multiple facets (perspectives, views, etc.) of the resulting interface is a fundamental challenge to design of effective geovisualization environments. Past research on coordinated views for geovisualization lead to the development of a number of solutions to this problem, implemented and tested in a range of software products. With the advent of browser-based geovisualization, the issue of user interface coordination became relevant once more due to the differences between semantics of JavaScript, the "lingua franca" of browser-based software, and "traditional" programming languages. This demo paper presents a novel software approach to multiview user interface coordination in browser-based geovisualization environments. This approach is inspired by the software meta-pattern called "introspective observer coordination", is implemented using pure JavaScript and JSON technologies, and is encapsulated in the form of a JavaScript library. As part of the demonstration, additional benefits of the browser-based environments are considered, including user interface coordination across multiple browser windows and multiple computers.

References

[1]
MacEachren, A. M., Jaiswal, A., Robinson, A. C. Pezanowski, S., Savelyev, A., Mitra, P., Zhang, X., and Blanford, J. 2011. Senseplace2: Geotwitter analytics support for situational awareness. Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on, 181--190. DOI= http://dx.doi.org/10.1109/VAST.2011.6102456.
[2]
Weaver, C. 2008. Multidimensional Visual Analysis Using Cross-Filtered Views. Visual Analytics Science and Technology (VAST), 2008 IEEE Symposium on, 163--170. DOI= http://dx.doi.org/10.1109/VAST.2008.4677370.
[3]
Hardisty, F., and Robinson, A. C. 2010. The geoviz toolkit: using component-oriented coordination methods for geographic visualization and analysis. International Journal of Geographical Information Science. 25, 2, 191--210. DOI= http://dx.doi.org/10.1080/13658810903214203.

Cited By

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  • (2019)Advancing the theory and practice of system evaluation: a case study in geovisual analytics of social mediaInternational Journal of Cartography10.1080/23729333.2019.16374886:2(202-221)Online publication date: 1-Aug-2019
  • (2018)Augmenting geovisual analytics of social media data with heterogeneous information network mining—Cognitive plausibility assessmentPLOS ONE10.1371/journal.pone.020690613:12(e0206906)Online publication date: 4-Dec-2018
  • (2017)SensePlace3: a geovisual framework to analyze place–time–attribute information in social mediaCartography and Geographic Information Science10.1080/15230406.2017.137039145:5(420-437)Online publication date: 11-Sep-2017

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cover image ACM Conferences
MapInteract '13: Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction
November 2013
97 pages
ISBN:9781450325363
DOI:10.1145/2534931
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2013

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Author Tags

  1. JavaScript
  2. coordination
  3. geovisualization
  4. introspection
  5. multiview
  6. visualization
  7. web graphics

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SIGSPATIAL'13
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MapInteract '13 Paper Acceptance Rate 17 of 20 submissions, 85%;
Overall Acceptance Rate 17 of 20 submissions, 85%

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Cited By

View all
  • (2019)Advancing the theory and practice of system evaluation: a case study in geovisual analytics of social mediaInternational Journal of Cartography10.1080/23729333.2019.16374886:2(202-221)Online publication date: 1-Aug-2019
  • (2018)Augmenting geovisual analytics of social media data with heterogeneous information network mining—Cognitive plausibility assessmentPLOS ONE10.1371/journal.pone.020690613:12(e0206906)Online publication date: 4-Dec-2018
  • (2017)SensePlace3: a geovisual framework to analyze place–time–attribute information in social mediaCartography and Geographic Information Science10.1080/15230406.2017.137039145:5(420-437)Online publication date: 11-Sep-2017

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