Abstract
The large and ever-increasing amounts of multi-dimensional, multi-source, time-varying and geospatial digital information represent a major challenge for the analyst. The need to analyse and make decisions based on these information streams, often in time-critical situations, demands efficient, integrated and interactive tools that aid the user to explore, present and communicate visually large information spaces. This approach has been encapsulated in the idea of Geovisual Analytics, an emerging interdisciplinary field based on the principles from Visual Analytics that facilitates analytical reasoning and decision making through integrated and highly interactive visual interfaces and creative visualization of complex and dynamic data. Geovisual analytics supports geo-information for emergency and early warning systems through a science that augments analyst and decision-maker capabilities to assimilate complex situations and reach informed decisions. Geovisual analytics originates from geovisualization and information visualization but also growing particularly on a high degree of synergy from scientific visualization. In this context, we introduce a web-enabled toolkit GeoAnalytics Visualization (GAV) and associate demonstrators developed in close collaboration with SMHI and OECD, composed of GAV components facilitating a broad collection of dynamic visualization methods integrated with the Adobe© Flash© and Flex© development platform. We also seek to support collaborative knowledge sharing.
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Acknowledgements
These applied research case studies were carried out by NCVA (http://ncva.itn.liu.se) in close collaboration with OECD and SMHI who supplied data and comprehensive evaluation of the application. The research is in part supported by funding from the Swedish Knowledge Foundation. The authors thank colleagues Tobias Åström, Markus Johnsson and Gunnar Krig at the NCVA at Linkoping University.
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Jern, M., Brezzi, M., Lundblad, P. (2010). Geovisual Analytics Tools for Communicating Emergency and Early Warning. In: Konecny, M., Zlatanova, S., Bandrova, T. (eds) Geographic Information and Cartography for Risk and Crisis Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03442-8_26
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DOI: https://doi.org/10.1007/978-3-642-03442-8_26
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