Amy Burnicki

Amy Burnicki is an Associate Teaching Professor in the Department of Geography at Penn State University, College of Earth and Mineral Sciences. She is a key instructor in the Online Geospatial Education programs, teaching GEOG 580: Geovisual Analytics and GEOG 586: Geographic Information Analysis.

Education:

• Ph.D. in Natural Resources & Environment, University of Michigan
• M.S. in Statistics, Penn State University

Amy Burnicki's research focuses on the application of spatial data analysis, spatial statistics, and quantitative modeling in land change science, transportation, and environmental engineering. Her work emphasizes the integration of GIScience technologies to model landscape patterns and assess the impact of error and uncertainty in land change analyses. She has conducted recent research on pedestrian volume estimation and crossing compliance using land development intensity metrics, and on climate vulnerability of water infrastructure in Connecticut.

Her research aligns with the Geospatial Big Data Analytics, Environmental Change and Prediction, and Spatial Modeling and Remote Sensing clusters at Penn State. Though specific publications are not listed, her work spans interdisciplinary domains including geospatial science, transportation planning, and environmental risk assessment.

Scientific Awards:

• No awards listed in the provided text.

Amy Burnicki actively contributes to applied geospatial research through collaboration with environmental engineering researchers and participation in transportation studies. She advises online geospatial education programs and supports graduate training through curriculum development. Her work includes securing applied research projects related to climate resilience and urban mobility, though specific grants are not detailed.

She is affiliated with the John A. Dutton e-Education Institute and contributes to Penn State’s broader geospatial education mission. Her efforts support both academic instruction and real-world problem solving through geospatial analytics.