Dr. Hogland is a Research Forester working for the Rocky Mountain Research Station. His research interests revolve around quantitative methods within geographic information systems (GIS) and understanding the relationships between landscape patterns and forested ecosystems processes. Current project include: 1) Quantifying forest characteristics at fine spatial scales, 2) designing, developing, and building new procedures that integrate machine learning and statistical modeling with fast raster processing (Function Modeling) to streamline spatial modeling and reduce storage space associated with GIS analyses, and 3) developing sampling strategies focused on reducing the cost of sampling while maintaining the characteristics of a representative sample.