Data Scientist
Data Scientist

Biography

Patrick Royer is a geospatial analyst, software development lead, and principal investigator for several large-scale geo-application projects, including:

  • Electrical Grid Resilience and Assessment System (EGRASS), developed for Puerto Rico Power Authority in collaboration with the National Renewable Energy Laboratory
  • Suite of Comprehensive Rapid Analysis Tools for Estimation (SOCRATES)
  • Tank Vapor Analysis and Visualization (TVDAV)
  • National Simulation Analysis and Center (NISAC) group
  • Chemical Security Map Tool (CSMT)
  • Tracking Restoration and Contaminants (TRAC)

Royer’s experience includes a broad range of technical and leadership endeavors related to geoinformatics and geostatistical analysis, with emphasis on big data systems and system architecture in cloud ecosystems.

Education

  • MS in natural resources, University of Arizona
  • BS in natural resource management, University of Arizona

Affiliations and Professional Service

  • IEEE Advancing Technology for Humanity
  • Association of American Geographers (AAG)
  • Geospatial Information and Technology Association (GITA)

Publications

2023

  • Gadey H., K.D. McGee, and P.D. Royer. 2023. "Progress in the Verification and Validation Efforts for START: A Spent Fuel Routing Tool." In American Nuclear Society Winter Conference and Technology Expo, (ANS 2023), November 12-15, 2023, Washington DC. Transactions of the American Nuclear Society, 129, 224 - 227. Westmont, Illinois:American Nuclear Society. PNNL-SA-186616.
  • Li X., K. Guddanti, S.S. Acharya, P.D. Royer, X. Fan, and M.A. Elizondo. 2023. "Smart Data Mapping for Connecting Power System Model and Geospatial Data." In IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA 2023), November 6-9, 2023, San Juan, Puerto Rico, 45-49. Piscataway, New Jersey:IEEE. PNNL-SA-186173. doi:10.1109/ISGT-LA56058.2023.10328353

2022

  • Barrett E.L., K. Mahapatra, M.A. Elizondo, X. Fan, S.H. Davis, S.F. Newman, and P.D. Royer, et al. 2022. "A Risk-Based Framework for Power System Modeling to Improve Resilience to Extreme Events." IEEE Open Access Journal of Power and Energy 10. PNNL-SA-166412. doi:10.1109/OAJPE.2022.3214175
  • Bereta dos Reis F., P.D. Royer, V.H. Chalishazar, S.H. Davis, M.A. Elizondo, J.E. Dagle, and A. Nassif, et al. 2022. "Methodology to Calibrate Fragility Curves Using Limited Real-World Data." In IEEE Power & Energy Society General Meeting (PESGM 2022), July 17-21, 2022, Denver, CO, 01-05. Piscataway, New Jersey:IEEE. PNNL-SA-168552. doi:10.1109/PESGM48719.2022.9916809
  • Condon C.A., P.J. Jensen, P.D. Royer, H. Gadey, M. Abkowitz, R. Claypool, and S.J. Maheras, et al. 2022. "Verification and Validation of the Stakeholder Tool for Assessing Radioactive Transportation (START) - 22323." In Waste Management Symposia 2022, March 6-10, 2022, Phoenix, AZ 2022,, Paper No. 22323. Tempe, Arizona:WM Symposia, Inc. PNNL-SA-169303.
  • Day-Lewis F.D., P.D. Royer, L.A. Placzek, and K.E. Markham. 2022. "A Multi-Scale Temperature-Based Strategy to Map Hydrologic Exchange Flows in Highly Dynamic Systems." Frontiers in Water 10. PNNL-SA-178043. doi:10.3389/feart.2022.1070393
  • Hou H., P.D. Royer, H. Ren, and X. Yu. 2022. User guide for the Geospatial Risk Analysis Tool. PNNL-33345. Richland, WA: Pacific Northwest National Laboratory. User guide for the Geospatial Risk Analysis Tool
  • Ren H., X. Yu, X. Lin, H. Hou, J. Son, H. Zhou, and P.D. Royer. 2022. Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning. PNNL-33835. Richland, WA: Pacific Northwest National Laboratory. Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning
  • Royer P.D., W. Du, and K.P. Schneider. 2022. "Rapid Evaluation and Response to Impacts on Critical End-Use Loads Following Natural Hazard-Driven Power Outages: A Modular and Responsive Geospatial Technology." International Journal of Disaster Risk Reduction 13, no. 3:415-434. PNNL-SA-176899. doi:10.1007/s13753-022-00413-6
  • Zhou H., H. Ren, P.D. Royer, H. Hou, and X. Yu. 2022. "Big Data Analytics for Long-Term Meteorological Observations at Hanford Site." Atmosphere 13, no. 1:136. PNNL-SA-168627. doi:10.3390/atmos13010136

2020

  • Davis S.H., M.A. Elizondo, X. Fan, S.F. Newman, E.L. Barrett, X. Ke, and B. Vyakaranam, et al. 2020. "Data Requirements for Application of Risk-Based Dynamic Contingency Analysis to Evaluate Hurricane Impact to Electrical Infrastructure in Puerto Rico." In CIGRE-US 2020 Next Generation Network Paper Competition. PNNL-SA-154443. 

2019

2018

  • Freedman V.L., P.D. Royer, X. Chen, S.A. Montgomery, and J.J. Garza. 2018. "ATLAS: Story Maps for Communicating Groundwater Cleanup Status - 18510." In Proceedings of the 44th Annual Waste Management Conference (WM2018): Nuclear and Industrial Robotics, Remote Systems and Other Emerging Technology, March 18-22, 2018, Phoenix, AZ, 8, 5530-5538. Tempe, Arizona:Waste Management Symposia, Inc. PNNL-SA-130420. 

2017