Center for Geospatial Analytics
Jordan Hall 4117
John is a research scientist and geographer in the Center for Geospatial Studies with expertise in geographic information systems and science, environmental remote sensing, and spatio-temporal modeling of land change dynamics with a focus on urbanization and landscape fragmentation. He is also involved in research to understand, model and predict the dynamics of Sudden Oak Death disease using citizen science and crowdsourced data in northern California. John supports research administration, project management, and field work activities, and he provides geospatial data management, analysis, and modeling services.
- Modeling the connection between viewscapes and home locations in a rapidly exurbanizing region (2019)
- Not seeing the forest for the trees: Modeling exurban viewscapes with LiDAR (2018)
- When big data are too much: Effects of LiDAR returns and point density on estimation of forest biomass (2016)
- Citizen science helps predict risk of emerging infectious disease (2015)
- FUTURES: Multilevel simulations of emerging urban-rural landscape structure using a stochastic patch-growing algorithm (2013)