VGI Geovisual Analytics Workshop

VGI Geovisual Analytics Workshop

In the past years Volunteered Geographic Information (VGI) has emerged as a novel form of user-generated content, which involves active generation of geo-data for example in citizen science projects as well as the passive collection of data via the user’s location-enabled mobile devices. The interpretation, visualisation and usage of such multi-source data is challenging because of the large heterogeneity, the differences in quality, the high update frequencies, the varying spatial-temporal resolution, subjective characteristics and low semantic structuring. The Geovisual Analytics Workshop will investigate how the general concepts of Visual Analytics can be used for the spatio-temporal analysis and interpretation of VGI.

Potential submission topics include, but are not limited to:

  • Efficient representation and modelling of geospatial big data
  • Quality assessment and uncertainty visualisation of VGI
  • Scalability and Multi-scale views of VGI/social media data
  • Real-time visualisation and spatio-temporal analysis of data streams
  • Visual exploration of Location-Based Social Networks data
  • Analysis and visualisation of spatial–temporal trajectory data
  • Joint analysis of VGI/social media data originating from different data sources
  • Location privacy issues in Geovisual Analytics

Q&A and Open Discussions

[New!!] Live Discussions here!

 Keynote Speaker

Jo Wood, giCentre, City University of London.


Jo Wood is a Professor of Visual Analytics at the giCentre, City, University of London. 
After starting his career as a geographer, he has developed interests in visualization design, datavis storytelling and geovisualization.
He has contributed to over a hundred peer-reviewed and conference papers and numerous visualization-oriented software packages over the last three decades, the most recent of which include:
elm-vega, elm-vegalite, and jointly with giCentre colleagues: litvis.

Volunteering our Visual Analytic Design Processes

What does it mean to make visual analytics ‘reproducible’?
How do we know if the conclusions we draw through the visual analytic process are robust?
While the debate about appropriate statistical methods continues in many of the empirical sciences, we too in visual analytics need to look critically at the robustness of our methods.
In this talk, I will outline the challenges we face when we use visual methods to make inferences and predictions and propose a new approach – literate visualization that attempts to address some of these challenges.
Literate visualization builds upon Donald Knuth’s literate programming, applying it to the visual realm using the ‘notebook’ paradigm.
Unlike notebooks such as Jupyter and Observable, the emphasis of literate visualization is on documenting the visual design process to provide a richer description of why we are incorporating the visual, not just how it was achieved.
The approach, using ideas of branching narratives and narrative schemas, is illustrated with litvis – an open source coding and visual narrative environment for literate visualization.
By routinely sharing more explicit accounts of our visual designs it is hoped we can build upon and develop good practice more effectively and with greater reliability.

Workshop Location

The workshop will take place in the room C425, located in the C building.
Here is some information about how to reach the University:

Here are all the maps of the building: We will be in building C, and there will be indications on the walls to follow the path.

Important Dates

Submission of abstracts closes:                                       September 7, 2018

Notification of abstracts acceptance:                          September 21, 2018

Submission of short papers closes:   August 1, 2018    August 15, 2018 

Notification of short papers acceptance:                            August 31, 2018

Submission of camera-ready papers closes:                      October 1, 2018

Workshop date:                                                                                October 19, 2018

 Registration to the Workshop

The workshop fee will be free of charge.


The program is now available here.



Submission Info

[New!!] We are calling for abstracts submissions ~2500 characters (ca. 300 words) consisting on a brief description of ongoing research plus 1 or 2 visual illustrations (e.g. figure, etc.). The submission should be in PDF format. Authors with accepted abstracts will be invited for a presentation in the workshop.

Authors are invited to submit original and unpublished short papers of work in progress up to 4  + 1 pages for references. The workshop proceedings will be will be publicly available on the website of the workshop. It is a condition of publication that accepted papers are presented by one of the authors. All accepted papers will be presented during the workshop. Presenters must register before the camera-ready deadline to avoid withdrawal from the symposium proceedings and programme. Please use the templates provided on this website: IEEE Templates.

Please submit your abstracts and manuscripts here:

Program Committee

GennadyAndrienko, Fraunhofer Institute IAIS – Intelligent Analysis and Information Systems, Germany
Natalia Andrienko, Fraunhofer Institute IAIS – Intelligent Analysis and Information Systems, Germany
Dirk Burghardt, Institute of Cartography, TU Dresden, Germany
Siming Chen, Fraunhofer Institute IAIS – Intelligent Analysis and Information Systems, Germany
Rahul Deb Das; Universität Zürich, Switzerland
Frank Dickmann, Ruhr-Universität Bochum, Germany
Alexandra Diehl, University of Konstanz, Germany
Thomas van Dijk,  Universität Würzburg, Germany
Alexander Dunkel, Technische Universität Dresden, Germany
Thomas Ertl, University of Stuttgart, Germany
Hongchao Fan, Wuhan University, China
Frank Fiedrich,  Bergische Universität Wuppertal | Uni-Wuppertal, BUW, Germany
Christian Freksa, Universität Bremen, Bremen Spatial Cognition Center, Germany
Daniel Keim, University of Konstanz, Germany
Steffen Koch, Universität Stuttgart, Germany
Ross Purves, Universität Zürich, Switzerland
Johanna Schmidt, AIT Austrian Institute of Technology GmbH, Austria
Dennis Thom, Universität Stuttgart, Germany
Andrea Unger, GFZ German Research Centre for Geosciences, Germany
René Westerholt, University of Warwick, United Kingdom
Alexander Wolff, Universität Würzburg, Germany
Diedrich Wolter, University of Bamberg, Germany
Bin Yang, GFZ German Research Centre for Geosciences, Germany
Alexander Zipf, University of Heidelberg, Germany

Workshop in context of the
Volunteered Geographic Information Research Programme
Organizer: Dirk Burghardt, Siming Chen, Gennady Andrienko, Natalia Andrienko, Ross Purves, Alexandra Diehl

VGI Website:

Date & Location

Session 1: October 19, 9 am – 11:30 am

Session 2: October 19, 1 pm – 3:30 pm

University of Konstanz, Room C425


Please register here.