Laura Tateosian
Bio
Laura Tateosian is a Research Assistant Professor in the Center for Geospatial Analytics. She is a computer scientist with a research focus on visualizing geospatial-temporal data. She uses controlled studies and eye tracking technology to investigate innovative ways to represent and interact with geospatial data. Her work includes open-source natural resources database management and Web mapping, coastal terrain time-series visualization, aesthetic climatology data visualization, and narrative processing of geospatial content. Laura has developed graduate courses in geospatial algorithms and programming, including Principles of Geospatial Information Systems, Programming for GIS (in Python), and an advanced special topics course on Geospatial Visualization.
Publications
- Ranges of Peak Storm Tides Between Open‐Coast and Bay Locations , (2025)
- Reconstructing historic and modern potato late blight outbreaks using text analytics , Scientific Reports (2024)
- An open-source platform for geospatial participatory modeling in the cloud , ENVIRONMENTAL MODELLING & SOFTWARE (2023)
- Classification of tree forms in aerial LiDAR point clouds using CNN for 3D tree modelling , International Journal of Remote Sensing (2023)
- Curvature Weighted Decimation: A Novel, Curvature-Based Approach to Improved Lidar Point Decimation of Terrain Surfaces , Geomatics (2023)
- Forecasting global spread of invasive pests and pathogens through international trade , ECOSPHERE (2023)
- Exploring public values through Twitter data associated with urban parks pre- and post- COVID-19 , LANDSCAPE AND URBAN PLANNING (2022)
- Plant pest invasions, as seen through news and social media , COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2022)
- The persistent threat of emerging plant disease pandemics to global food security , Proceedings of the National Academy of Sciences (2021)
- A Review of Geospatial Content in IEEE Visualization Publications , 2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020) (2020)