VL/HCC 2020 (series) / Graduate Consortium /
Exploring Immersive and Non-Immersive Techniques for Geographic Data Visualization
Analyzing multi-dimensional geospatial data is difficult and immersive analytics systems have been used to visualize geospatial data and models. There is little previous work evaluating when immersive and non-immersive visualizations are the most suitable for data analysis and more research is needed.
Benjamin is a first year Ph.D. student at Victoria University of Wellington, New Zealand. He has a B.Sc. in Computer Science and Mathematics and an M.Sc. in Computer Science. Benjamin’s research interests include data visualization and usability testing.
Tue 11 AugDisplayed time zone: Pacific Time (US & Canada) change
Tue 11 Aug
Displayed time zone: Pacific Time (US & Canada) change
13:40 - 14:40 | |||
13:40 20mTalk | Exploring Immersive and Non-Immersive Techniques for Geographic Data Visualization Graduate Consortium Benjamin Powley Victoria University of Wellington, New Zealand Authorizer link | ||
14:00 20mTalk | Impact of Spatial Interface Traversal on Learning Graduate Consortium Eric Nersesian New Jersey Institute of Technology Authorizer link | ||
14:20 20mTalk | Large-Scale Microtask Programming Graduate Consortium Emad Aghayi George Mason University Authorizer link Pre-print File Attached |