IEEE VIS 2020 workshop on
Information Visualization of Geospatial Networks, Flows and Movement (MoVis)
26 October 2020, Virtual workshop
View the recorded live stream on YouTube
Workshop Schedule (NEW!)
We are one of many exciting workshops at IEEE VIS which will be held on Monday, October 26th, 2020. Our workshop starts at 12:00 pm (US Mountain Time) and ends at 3:15 pm (US Mountain Time). Please download the visual guide to our schedule below.
HOW TO JOIN?
Here is the link to watch the live stream on YouTube: http://tinyurl.com/ieeemovis20
|Short paper session talks||
|Break and social time 1:30 pm – 2:00 pm (US Mountain Time)
Join us for breakout rooms using this link.
|Session B 1:45 pm – 3:15 pm (US Mountain Time) Streaming live on YouTube|
|Interactive session for work in progress||
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 the 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.
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
Submission Guidelines and Important Dates
Submissions of short (~1500 words) research papers in a pdf format using the IEEE template should be directly uploaded to the workshop webpage on EasyChair. We are also interested in short abstracts of 500 words for ‘work in progress’ in pdf to be demonstrated for feedback and discussion at the workshop also due on EasyChair. The submissions of ‘work in progress’ does not require to follow the IEEE style and it can include images. We welcome video demo submissions for all papers. Video demos will be put on the website.
(NEW!) If you plan to submit a pre-recorded video for your talk or work-in-progress demo, please follow the instratuctions provided here. Please make sure to name your video with a prefix ‘w-movis’, and upload your video to this Google Drive Folder no later than September 28th.
Given the COVID-19 situation and the fact that many research groups have redirected efforts toward understanding how movement (or restrictions on movement) influence the course of the pandemic, we still welcome inquiries about presenting new work that is specifically related to COVID-19.
- Deadline for workshop submissions (1500 words):
10 July 202027 July 2020 (please contact us if you are considering a late submission)
- Decisions to authors:
31 July 202015 August 2020
- Submission of revised Camera-ready versions: 25 August 2020
- Submission of ‘work in progress’: 1 October 2020
- 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
- Clio Andris, Assistant Professor, School of City & Regional Planning and School of Interactive Computing, Georgia Institute of Technology, firstname.lastname@example.org
- Somayeh Dodge, Assistant Professor, Dept. of Geography, University of California – Santa Barbara, email@example.com
- Alan MacEachren, Professor, Dept. of Geography, Pennsylvania State University, firstname.lastname@example.org