2016 workshop news: VCMA@AGILE & SpatialVA@GIScience

A quick update on the two workshops that we are running this year:

We have just published the list of accepted papers at the Visually-Supported Computational Movement Analysis (VCMA2016) workshop in Helsinki, Finland (14 June 2016). The contributions were excellent, promising a high-quality workshop. Stay tuned for final updates at the VCMA2016 website or on twitter (#VCMA2016) and join us for the workshop (registration details are on the website, and a side note that this is a co-located workshop with the AGILE2016 conference, which has the honour to have the ICA President, Prof Menno-Jan Kraak, as the keynote speaker).

Our second workshop, Understanding Spatial Data (Big and Small) with Visual Analytics (SpatialVA2016), will take place in Montreal, Canada (27 Sept 2016) and we are delighted to have two prominent scientists as keynote speakers: Prof Sheelagh Carpendale from the University of Calgary and Prof Alan MacEachren from Penn State University.
There is still time to contribute to this workshop: the deadline has been extended to 29 April 2016. So submit a contribution and join us in Canada for a great event.

See you in Helsinki and Montreal!

Announcing SpatialVA – A GIScience 2016 Workshop on Understanding Spatial Data with Visual Analytics

Please join us for a SpatialVA 2016, a workshop co-located with the GIScience 2016 conference in Montreal, Canada on September 27, 2016.

The workshop calls for new visual analytics methods and applications for spatial and spatio-temporal data which demonstrate the usefulness of these techniques for analytical reasoning about space and time. We are particularly interested in how interactive visualisations can support knowledge construction and insights from spatial data, either big or small.

We intend for this workshop to reach the widest possible audience, and therefore call for submissions in any application area using any type of spatial or spatio-temporal data. We encourage approaches that take advantage of both spatial and temporal characteristics of such data, those that allow analysis across different spatial or temporal scales and those that provide new dynamic interactive visualisations for data exploration. We encourage submissions to explicitly consider how the proposed visual approach supports analytical reasoning about the data and ideally, demonstrate how the inclusion of the interactive visualisations into the analysis process aids understanding and decision-making.

We call for extended abstract submissions on the following topics of interest:

  • New visual analytics methods for spatial or spatio-temporal data.
  • Applications of using new or existing spatio-temporal visual analytics methods in any discipline.
  • Evaluations of visual analytics approaches that help us understand how users apply such tools.
  • Theoretical demonstrations and frameworks for visual support of analytical reasoning.
  • Advances in knowledge construction and reasoning about spatial and temporal phenomena and processes.

Please see our workshop website at http://viz.icaci.org/SpatialVA2016 for the full Call For Papers, submission details, and deadlines.

Visually-supported Computational Movement Analysis (VCMA 2016)

We are happy to announce a Call for Papers for the Workshop on “Visually-supported Computational Movement Analysis (VCMA 2016) which will be held on 14 June 2016, immediately preceeding this year’s AGILE 2016 Conference in Helsinki. The workshop is co-organised and supported by our commission.

We are calling for contributions to both a regular session with short paper contributions and a data challenge session. The workshop will also feature a panel with break-out discussions to assess and (re)define the current research agenda. The call for papers as a pdf is available here.

For complete information, see the workshop website.
http://viz.icaci.org/vcma2016/

For details on AGILE conference, see here:
http://agile-online.org/index.php/conference/conference-2016

Please, consider contributing either to the regular programme or to data challenge. Looking forward to see many of you in Helsinki!