Laura Tateosian

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.

Roles
Publications
- The persistent threat of emerging plant disease pandemics to global food security (2021)
- A Review of Geospatial Content in IEEE Visualization Publications (2020)
- A Review of Geospatial Content in IEEE Visualization Publications (2020)
- GIS-Based Estimation of Seasonal Solar Energy Potential for Parking Lots and Roads (2020)
- Story-telling maps generated from semantic representations of events (2020)
- Impressionism-Inspired Data Visualizations Are Both Functional and Liked (2019)
- Digital footprints: Incorporating crowdsourced geographic information for protected area management (2018)
- Blending tools for a Smooth Introduction to 3D Geovisualization (2017)
- GazeGIS: A gaze-based reading and dynamic geographic information system (2017)
- Python for ArcGIS (2015)