Laura Tateosian Saffer, A., Tateosian, L., Saville, A. C., Yang, Y.-P., & Ristaino, J. B. (2024). Reconstructing historic and modern potato late blight outbreaks using text analytics. SCIENTIFIC REPORTS, 14(1). https://doi.org/10.1038/s41598-024-52870-2 White, C. T., Petrasova, A., Petras, V., Tateosian, L. G., Vukomanovic, J., Mitasova, H., & Meentemeyer, R. K. (2023). An open-source platform for geospatial participatory modeling in the cloud. ENVIRONMENTAL MODELLING & SOFTWARE, 167. https://doi.org/10.1016/j.envsoft.2023.105767 Vivek Nanda, V. M., Baran, P., Tateosian, L., Nelson, S. A. C., & Hu, J. (2023). Classification of tree forms in aerial LiDAR point clouds using CNN for 3D tree modelling. INTERNATIONAL JOURNAL OF REMOTE SENSING, 44(22), 7156–7186. https://doi.org/10.1080/01431161.2023.2282405 Schrum, P. T., Jr., Jameson, C. D., Tateosian, L. G., Blank, G. B., Wegmann, K. W., & Nelson, S. A. C. (2023). Curvature Weighted Decimation: A Novel, Curvature-Based Approach to Improved Lidar Point Decimation of Terrain Surfaces. Geomatics, 3(1), 266–289. https://doi.org/10.3390/geomatics3010015 Montgomery, K., Walden-Schreiner, C., Saffer, A., Jones, C., Seliger, B. J., Worm, T., … Meentemeyer, R. K. (2023). Forecasting global spread of invasive pests and pathogens through international trade. ECOSPHERE, 14(12). https://doi.org/10.1002/ecs2.4740 Tateosian, L. G., Saffer, A., Walden-Schreiner, C., & Shukunobe, M. (2023). Plant pest invasions, as seen through news and social media. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 100. https://doi.org/10.1016/j.compenvurbsys.2022.101922 Huang, J.-H., Floyd, M. F., Tateosian, L. G., & Hipp, J. A. (2022). Exploring public values through Twitter data associated with urban parks pre- and post- COVID-19. LANDSCAPE AND URBAN PLANNING, 227. https://doi.org/10.1016/j.landurbplan.2022.104517 Ristaino, J. B., Anderson, P. K., Bebber, D. P., Brauman, K. A., Cunniffe, N. J., Fedoroff, N. V., … Wei, Q. (2021). 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, 118(23). https://doi.org/10.1073/pnas.2022239118 Yoshizumi, A., Coffer, M. M., Collins, E. L., Gaines, M. D., Gao, X., Jones, K., … Tateosian, L. (2020). A Review of Geospatial Content in IEEE Visualization Publications. 2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020), pp. 51–55. https://doi.org/10.1109/VIS47514.2020.00017 Yoshizumi, A., Coffer, M., Collins, E., Gaines, M., Gao, X., Jones, K., … Tateosian, L. (2020). A Review of Geospatial Content in IEEE Visualization Publications. Proceedings IEEE Visualization 2020. Presented at the 2020 IEEE Visualization Conference, Salt Lake City, Utah. Vivek Nanda, V. M., Tateosian, L., & Baran, P. (2020). GIS-Based Estimation of Seasonal Solar Energy Potential for Parking Lots and Roads. IEEE Greentech Conference Proceedings. Presented at the 2020 IEEE Green Technologies Conference, Okalahoma City, OK. Tateosian, L., Glatz, M., & Shukunobe, M. (2020). Story-telling maps generated from semantic representations of events. BEHAVIOUR & INFORMATION TECHNOLOGY, 39(4), 391–413. https://doi.org/10.1080/0144929X.2019.1569162 Kozik, P., Tateosian, L. G., Healey, C. G., & Enns, J. T. (2019). Impressionism-Inspired Data Visualizations Are Both Functional and Liked. PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS, 13(3), 266–276. https://doi.org/10.1037/aca0000175 Walden-Schreiner, C., Leung, Y.-F., & Tateosian, L. (2018). Digital footprints: Incorporating crowdsourced geographic information for protected area management. APPLIED GEOGRAPHY, 90, 44–54. https://doi.org/10.1016/j.apgeog.2017.11.004 Tateosian, L., & Tabrizian, P. (2017). Blending tools for a Smooth Introduction to 3D Geovisualization. Pedagogy of Data Visualization Workshop (PDVW). Presented at the IEEE VIS: Visualization & Visual Analytics, Phoenix, AZ. Tateosian, L. G., Glatz, M., Shukunobe, M., & Chopra, P. (2017). GazeGIS: A Gaze-Based Reading and Dynamic Geographic Information System. EYE TRACKING AND VISUALIZATION: FOUNDATIONS, TECHNIQUES, AND APPLICATIONS, ETVIS 2015, pp. 129–147. https://doi.org/10.1007/978-3-319-47024-5_8 Tateosian, L. (2015). Python for ArcGIS. https://doi.org/10.1007/978-3-319-18398-5 Hardin, E., Mitasova, H., Tateosian, L., & Overton, M. (2014). GIS-based Analysis of Coastal Lidar Time-Series. https://doi.org/10.1007/978-1-4939-1835-5 Tateosian, L., Mitasova, H., Thakur, S., Hardin, E., Russ, E., & Blundell, B. (2014). Visualizations of coastal terrain time series. INFORMATION VISUALIZATION, 13(3), 266–282. https://doi.org/10.1177/1473871613487086 Thakur, S., Tateosian, L., Mitasova, H., Hardin, E., & Overton, M. (2013). SUMMARY VISUALIZATIONS FOR COASTAL SPATIAL-TEMPORAL DYNAMICS. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 3(3), 241–253. https://doi.org/10.1615/int.j.uncertaintyquantification.2012003969 Supak, S., Luo, H., Tateosian, L., Fang, K., Harrell, J., Harrelson, C., … Devine, H. (2012). Who's Watching Your Food? A Flexible Framework for Public Health Monitoring1. Transactions in GIS, 16(2), 89–104. https://doi.org/10.1111/j.1467-9671.2012.01309.x Tateosian, L. G., Mitasova, H., Harmon, B. A., Fogleman, B., Weaver, K., & Harmon, R. S. (2010). TanGeoMS: Tangible Geospatial Modeling System. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, Vol. 16, pp. 1605–1612. https://doi.org/10.1109/tvcg.2010.202 Tateosian, L. G., Healey, C. G., & Enns, J. T. (2007). Engaging viewers through nonphotorealistic visualizations. Proceedings of the 5th international symposium on Non-photorealistic animation and rendering - NPAR '07. Presented at the the 5th international symposium. https://doi.org/10.1145/1274871.1274886 Tateosian, L. G., Dennis, B. M., & Healey, C. G. (2006). Stevens dot patterns for 2D flow visualization. Proceedings of the 3rd symposium on Applied perception in graphics and visualization - APGV '06. Presented at the the 3rd symposium. https://doi.org/10.1145/1140491.1140511 Rhyne, T. M., Dennis, B., Kocherlakota, S., Sawant, A., Tateosian, L., & Healey, C. G. (2005). Designing a visualization framework for multidimensional data. IEEE Computer Graphics and Applications, 25(6), 15-.