Volunteered Geographic Information

Dirk Burghardt is Professor of Cartographic Communication at the Institute of Cartography, TU Dresden, Germany, and Vice-President of the German Society of Cartography. He is the coordinator and speaker of the VGIscience priority program funded by the German Research Foundation (2016-2023). His main research interests include geovisual analytics and cartographic communication, automated generalisation and map production, geographic information retrieval and multiscale representations with focus on location-based social media data.Elena Demidova is Professor of Computer Science and Head of the Data Science and Intelligent Systems Group (DSIS) at the University of Bonn, Germany. Previously, she worked as Research Group Leader at the L3S Research Center, Leibniz University of Hannover, Germany, and as Senior Researcher at the University of Southampton, UK. Her main research interests include data analytics, machine learning, the Web, and Semantic Web technologies.Daniel A. Keim is Full Professor and Head of the Information Visualization and Data Analysis Research Group in the Computer and Information Science Department of the University of Konstanz, Germany. He has been actively involved in data analysis and information visualization research for more than 25 years and developed a number of novel visual analysis techniques for large data sets. He is a recipient of IEEE VGTC 2011 Visualization Technical Achievement Award, and his work has been recognized through a variety of further awards including best paper and honorable mention awards at the ACM SIGMOD, ACM SIGKDD, and IEEE VAST conferences as well as several awards at the IEEE Visual Analytics Contest.

• Part I: Representation and Analysis of VGI.- 1. WorldKG: World-Scale Completion of Geographic Information.- 2. Analyzing and Improving the Quality and Fitness for Purpose of OpenStreetMap as Labels in Remote Sensing Applications.- 3. Efficient Mining of Volunteered Trajectory Data Sets.- 4. Uncertainty-Aware Enrichment of Animal Movement Trajectories by VGI.- 5. Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection.- Part II:  Geovisualization and User Interactions Related to VGI.- 6. Toward Visually Analyzing Dynamic Social Messages and News Articles Containing Geo-Referenced Information.- 7. Visually Reporting Geographic Data Insights as Integrated Visual and Textual Representations.- 8. Effects of Landmark Position and Design in VGI Based Maps on Visual Attention and Cognitive Processing.- 9. Addressing Landmark Uncertainty in VGI-based Maps: Approaches to Improve Orientation and Navigation Performance.- 10. Improvement ofTask-Oriented Visual Interpretation of VGI Point Data.- Part III: Active Participation, Social Context and Privacy Awareness.- 11. Environmental Tracking for Healthy Mobility.- 12. Extraction and Visually Driven Analysis of VGI for Understanding People’s Behavior in Relation to Multi-Faceted Context.- 13. Digital Volunteers in Disaster Management.- 14. Protecting Privacy in Volunteered Geographic Information Processing.