Special Issue "Geovisual Analytics"
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: closed (15 July 2012)
Dr. Brian M. Tomaszewski
Department of Information Sciences and Technologies, Rochester Institute of Technology, One Lomb Memorial Drive, Rochester, NY 14623, USA
Interests: Geographic Information Science and Technology (GIS&T); geovisual analytics; context modeling and representation; crisis management
The continued proliferation of massive volumes of geographic data and information coupled with complex, multi-scale problems is necessitating the need for new analytic approaches and problem solving tools such as those offered by the field of Geovisual Analytics. The following quote taken from Tomaszewski et al. (2007:173) describes Geovisual Analytics:Geovisual Analytics is an emerging interdisciplinary field that integrates perspectives from Visual Analytics (grounded in Information and Scientific Visualization) and Geographic Information Science (growing particularly on work in geovisualization, geospatial semantics and knowledge management, geocomputation, and spatial analysis). Geovisual Analytics tools help identify relevant geospatial information, data, and knowledge by supporting analytical process that meld innate human abilities of vision and cognition with computer-based visual interfaces that provide flexible connections to relevant data and supporting knowledge, and that are specifically designed to provide support for analytical reasoning. Often the activities that Geovisual Analytics is directed toward involve recognizing relevant information in enormous datasets that make what is relevant difficult to determine using traditional methods. Geovisual Analytics is an increasingly important tool for activities ranging from counter-terrorism and crisis management, through environmental science, to strategic business decision making.
This special issue is thus interested in reporting Geovisual Analytics research that advances understanding of following topics that include, but are not limited to:
- Using sense making, cognition, and perception as foundations for tools that support reasoning for complex tasks
- Addressing issues of analytical scale and the interplay between complexity and urgency that dictates and determines the scale
- Synthesizing different types of information from different sources into unified representations to find meaning
- Integrating views of large-scale information spaces, coordinated views of information in context, and overviews and details
- Leveraging innate human abilities to reason about time and space
- Evaluating the usability and utility of Geovisual Analytic systems
- Geovisual Analytic computational methods
Geovisual Analytic application case studies and best practice submissions are also encouraged.
Brian M. Tomaszewski
Thomas, J. J. & Cook, K. A. 2005. Illuminating the Path: The Research and Development Agenda for Visual Analytics, Los Alametos, CA, IEEE.
Tomaszewski, B., Robinson, A. C., Weaver, C., Stryker, M. & Maceachren, A. M. Year. Geovisual Analytics and Crisis Management. In: B. VAN DE WALLE, BURGHARDT, P. & NIEUWENHUIS, C., eds. Proceedings of the 4th International Information Systems for Crisis Response and Management (ISCRAM) Conference, 2007 Delft, the Netherlands. 173-179.
- geovisual analytics
- geographic information
- information visualization
- computational methods
Future Internet 2012, 4(4), 1069-1085; doi:10.3390/fi4041069
Received: 10 October 2012; in revised form: 20 November 2012 / Accepted: 10 December 2012 / Published: 14 December 2012| Download PDF Full-text (2695 KB) | View HTML Full-text | Download XML Full-text
Future Internet 2012, 4(4), 1049-1068; doi:10.3390/fi4041049
Received: 16 July 2012; in revised form: 5 December 2012 / Accepted: 10 December 2012 / Published: 13 December 2012| Download PDF Full-text (4320 KB) | View HTML Full-text | Download XML Full-text
Future Internet 2012, 4(1), 22-41; doi:10.3390/fi4010022
Received: 21 November 2011; in revised form: 13 December 2011 / Accepted: 19 December 2011 / Published: 30 December 2011| Download PDF Full-text (1431 KB) | Download XML Full-text | Supplementary Files
Last update: 25 February 2014