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iV2014 - 18th
International Conference Information Visualisation 15, 16, 17 and 18 July 2014
University of Paris Descartes ● Paris ● France ●
http://www.graphicslink.co.uk/IV2014/
http://www.univ-paris5.fr |
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6th International
Symposium GeoVisual Analytics
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Geovisual
Analytics is an interdisciplinary field that integrates perspectives from
Visual Analytics, Information Visualization and Geographic Visualization and leverage
human-computer interaction, perception and cognitive science. Appropriate Geovisual Analytics methods help identify relevant
geospatial information, data, and knowledge by supporting analytical process
that demands integrated and sophisticated interactive
tools that aid the user to manage, process visualize and interact with large
information spaces, 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 large spatio-temporal
and multivariate datasets that make what is relevant difficult to determine
using traditional methods. There is evidently much room for synergy
between two distinct domains such as Geographic Visualization and Information
Visualization and associated applications areas such as public statistics,
environmental, logistics, meteorology, social science, education, energy,
decision support and others. This is particularly so in the context of the
Visual Analytics research agenda. This symposium is meant to attract the
attention of a research community interested in the emerging field Geovisual Analytics and the synergies between Geographic
visualization and Information Visualization through presentations and
discussion of applications, techniques and novel approaches supporting
research efforts focus on such questions as: ·
How
to visualise spatio-temporal and multivariate data
in a way that supports clear understanding of the problem, finding reasonable
ways to solve it, seeing pros and cons of each possible solution, and
understanding the tradeoffs between various options; ·
How
to help users to understand and properly utilise synergies between geo- and
information visualization; ·
What
other techniques and approaches could appropriately complement the
visualisation in helping people to investigate problem situations and arrive
at sound and well-grounded decisions; ·
How to externalise and manage
the knowledge gained e.g. storytelling; In particular we request reflective contributions in the following areas: ·
use
and novel application of : -
Geovisual Analytics, geovisualization and geographical
visualization methods for spatial and temporal data; -
Synergy
of Geovisual Analytics and other research domain
such as information visualization, scientific visualization, data mining or
computational approaches; -
Visualization
support for multi-criteria decision analysis related to spatial data; -
Collaborative
or Communicative Geovisual Analytics; -
Visual
support for individual and team analytical reasoning and sense making; -
Methods
to visualize and exploit heterogeneous information of varied quality; -
Methods
for capturing observations and findings in the course of analysis, for
documenting, organising, and navigating discoveries, and for supporting
knowledge construction; -
Geovisual Analytics support for spatial and spatio-temporal
data mining and statistics; -
Knowledge-based
geovisual analytics design; -
HCI
issues of Geovisual Analytics; ·
case
studies in : Application of innovative Geovisual Analytics,
statistics visualization, geovisualization,
geographical visualization methods related to real-life problems, Geovisual Analytics applied in Education; ·
theoretical
work that documents or supports any synergies including : Software
architectures Theoretical
frameworks Typologies GeoVisual Analytics Advisory
and Liaising committee: Mikael
Jern, NCVA, MIT, Linköping University, Sweden
Submission procedures: http://www.graphicslink.co.uk/IV2014/PAPERS.htm
Further
information: http://www.graphicslink.co.uk/IV2014/
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http://www.graphicslink.co.uk/IV2014/GVA.htm |
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All gIV enquiries should be addressed to:
Mikael Jern National Center for Visual Analytics NCVA Department of Science and Technology, Sweden mikael.jern@liu.se
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All other enquiries and submissions
should be addressed to:
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