Laura Tateosian

Bio

Laura uses geospatial analytics to innovate visualization techniques for geospatial-temporal data through advances in computer science. She develops geospatial algorithms and programming and uses controlled studies and eye tracking technology to investigate new ways to represent and interact with geospatial data. Her interests include aesthetic climatology geovisualization, coastal terrain time-series visualization, gaze-based map interaction, geo-mining narrative archives, storytelling with maps, and open-source natural resources web mapping.

Publications

• The persistent threat of emerging plant disease pandemics to global food security , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)
• A Review of Geospatial Content in IEEE Visualization Publications , Proceedings IEEE Visualization 2020 (2020)
• A Review of Geospatial Content in IEEE Visualization Publications , 2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020) (2020)
• GIS-Based Estimation of Seasonal Solar Energy Potential for Parking Lots and Roads , IEEE Greentech Conference Proceedings (2020)
• Story-telling maps generated from semantic representations of events , BEHAVIOUR & INFORMATION TECHNOLOGY (2020)
• Impressionism-Inspired Data Visualizations Are Both Functional and Liked , PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS (2019)
• Digital footprints: Incorporating crowdsourced geographic information for protected area management , Applied Geography (2018)
• Blending tools for a Smooth Introduction to 3D Geovisualization , Pedagogy of Data Visualization Workshop (PDVW) (2017)
• GazeGIS: A gaze-based reading and dynamic geographic information system , Eye tracking and visualization: foundations, techniques, and applications, etvis 2015 (2017)
• Python for ArcGIS , (2015)

Groups

• Fellows
• Instructors