Alec Dyer
Graduate Student
Portland State University
Department of Geography
Email: dyeralec6@gmail.com
Bio
As a Geospatial Data Scientist, I seek to discover spatial and temporal patterns that reveal key relationships between humans and their environment. Unlocking this knowledge is crucial to finding solutions to the ever-growing environmental, economic, and humanitarian impacts in this anthropogenic world. To attack this challenge, I integrate a diverse skillset in geospatial analytics, machine learning, big data computing, and cartography into my research. I've recently completed a Master of Science degree in Geography from Portland State University focused on using remotely-sensed observations to identify the multi-scalar, spatio-temporal patterns and drivers of post-fire delayed tree mortality following large, severe wildfires in Oregon's western Cascades. Today, I am a support contractor for the National Energy Technology Laboratory supporting energy-related projects to guide the future of energy.
Latest Publication
Using the northern Gulf of Mexico as a case study, this paper performs Landslide Susceptibility Mapping using a gradient-boosted decision tree model to characterize the spatial patterns of submarine landslide probability over the United States Exclusive Economic Zone with historic submarine landslides and a Geographic Information System (GIS) database of known topographical, geomorphological, geological, and geochemical factors.
Dyer, A.S., Mark-Moser, M., Duran, R. et al. Offshore application of landslide susceptibility mapping using gradient-boosted decision trees: a Gulf of Mexico case study. Nat Hazards 120, 6223–6244 (2024). https://doi.org/10.1007/s11069-024-06492-6.
Cartography
