Explore non-negative matrix factorization (NMF) as an unsupervised algorithmic approach to landcover classification in NAIP imagery
Use Unity 3D game development engine and Python scripting to transform non-spatial data into a "spatialized" interactive 3D visualization
Group project that involved conducting UAS data collection at a site in the Twin Cities metro area and using this data to explore a range of emerging aerial imagery processing tools/services. Poster presented at 2018 MN GIS/LIS Conference, Duluth, MN.
Presentation for the 2016 Digital Humanities Forum, Lawrence, KS
Train a supervised classifier to detect landcover classification in NAIP imagery using OrfeoToolbox and QGIS Python scripting
Tutorials aimed at beginning/undergraduate R learners. Volunteer presentation at the Twin Cities R Users' Group.
Volunteer presentation at the Twin Cities R Users' Group
Article based on research conducted with first-year student iPad project at the UMN College of Education and Human Development
Presentation at the 2014 EDUCAUSE Learning Initiative Annual Meeting