IEEE VIS 2020 workshop on

Information Visualization of Geospatial Networks, Flows and Movement (MoVis)

25-30 October 2020 Salt Lake City, Utah, USA

At the moment, IEEE VIS organizers are closely monitoring the coronavirus outbreak and are ready to change the conference format as needed. At this point, IEEE VIS 2020 is still scheduled to be held as planned in fall 2020. We, as organizers of the MoVIS 2020 workshop, are in contact with IEEE VIS organizers and will be working together to develop a contingency plan as we learn more about the VIS conference’s recommendations, plans of the other workshops, and PC committee recommendations, and will keep everyone updated. Please, check http://ieeevis.org/year/2020/welcome regularly for updates.


Researchers frequently access and visualize data that represent spatial connections. These include GPS trajectories, migration movement, mobile phone-based movement, social networks, flights, commutes, SMS/phone call connections, human and animal movement trajectories, commuter flows, international trade, disease transmission flows, remittance flows, online friendship connections and transportation magnitudes.  They are important in the study of globalization, wealth distribution, information spreading, epidemiological modeling, economics and infrastructure management.  At the same time, analyzing these data requires advanced visualization methods. The objectives of this workshop are to explore the best ways to visualize large, spatio-temporal flow systems with both node and edge attribute data; describe best visualization methods to unearth meaningful results; facilitate the use of diverse big data sets, communicate these results through visualization and description; and reflect upon how visualization is best communicated for urban and regional studies, geography, urban planning, public health, civil engineering, sociology and related fields.

The MoVIS ’20 workshop is situated in a larger body of research on geovisualization, geospatial data analytics and exploratory spatial data analysis (ESDA). This body of work includes mapping spatial datasets using different visual techniques, and assessing how humans interact and gain insights from spatial data. Spatial flow data is a special type of data that presents issues like the “haystack” problem of overlapping flows, edge effects, issues of using polygon centroids as origins or destinations, and issues of scale and modifiable areal units.

Goals. The purpose of this workshop is to help advance the scientific capabilities of visualizing and interacting with large spatial connectivity datasets of movement, telecommunications and social relationship data. This workshop aims to provide a strategic link between the geographic information science (GIScience) and information visualization communities. The workshop will also expose researchers to a variety of flow data sources and enrich our knowledge of geospatial connectivity through innovative dynamic and static visualization tools and methods.

Workshop Themes:

We invite submissions of short research papers (1500 words) or short abstracts of  ‘work in progress’ (500 words) that describe new research ideas that fit the general theme of Information Visualization of Geospatial Networks, Flows and Movement, including, but not limited to, the following topics:

  • Integrating thematic flows data with and reference maps
  • Evaluating interaction methods with flows
  • Comparing static vs. dynamic geographic flow visualization
  • 3D visualization of flows
  • Protecting privacy in visualizing GPS trace and movement data
  • Expressing temporal dynamics
  • Use of novel symbology combinations of transparency, color, thickness and interweaving techniques
  • Integrating multi-modal flows into one visualization
  • Dashboards and linked visualizations for data exploration with other data.
  • Spatial social network visualization
  • Interactive flow and network tools
  • Flow bundling algorithms
  • HCI considerations for user types and applications/case studies
  • Capturing bias and behavior patterns with flow data
  • Applying (a-spatial), force-directed, network visualization and graph drawing techniques to spatial problems

We will put special emphasis on supporting and nurturing the growth of emerging, nascent topics, including:

  • Cross-scale (multi-scale) flows
  • Multiplex networks (with multiple edge weights)
  • Flow uncertainty
  • Visual comparison of actual vs expected flows
  • Visualizing flow predictions
  • Open geospatial tools for flow analytics
  • Machine learning for visualizing flow growth and expansion

Tentative Schedule (may be adapted for afternoon)

  • 9 am: Welcome and introduction, invited keynote.
  • 9:45 am: First lightning paper session talks. (@5 mins each)
  • Coffee break to align with other workshops
  • 10:30 am: Second lightning paper session talks. (@5 mins each)
  • 11:15 am-11:50 pm: New: Interactive session for work in progress (Participants are invited to bring vis prototypes and receive live feedback from workshop members. This will be an encouraging, dynamic session for cutting-edge, in-progress projects).
  • 11:50 am: Wrap up and summary by panel. Panelists to be invited from the program committee. Discuss emerging topics and trends for the future of geospatial movement and connectivity visualization.
  • 12:15 pm: Thank you to the participants and conclusion

Submission Guidelines and Important Dates

Submissions of short (~1500 words) research papers in a pdf format should be directly uploaded to the workshop webpage on EasyChair. We are also interested in short abstracts of 500 words for ‘work in progress’ to be demonstrated for feedback and discussion at the workshop also due on EasyChair.

  • Deadline for workshop submissions (1500 words): 10 July 2020
  • Decisions to authors: 31 July 2020
  • Submission of revised Camera-ready versions: 15 August 2020
  • Submission of ‘work in progress’: 1 October 2020

Program Committee

  • Anita Graser, Austrian Institute of Technology
  • Caglar Koylu, University of Iowa
  • Mauro Martino, IBM Software Group
  • Sara Irina Fabrikant, University of Zurich
  • Ming-Hsiang Tsou, San Diego State University
  • Anthony Robinson, The Pennsylvania State University
  • Alex Endert, Georgia Institute of Technology
  • Charles Perin, University of Victoria
  • Gennady Andrienko, Fraunhofer
  • Natalia Andrienko, Fraunhofer
  • John Stasko, Georgia Institute of Technology
  • Alasdair Rae, University of Sheffield
  • Polo Chau, Georgia Institute of Technology
  • Jo Wood, City University London
  • Menno-Jan Kraak, University of Twente
  • Aidan Slingsby, City University London
  • James Cheshire, University College London

Organizers contact details