Spatial Ecology

3 credits · Graduate

Spatial heterogeneity is a key feature of many ecological patterns and processes. This course will explore how spatial data and analysis can answer fundamental questions in ecology, evolution, and conservation through discussions of recent research and workshops on performing spatial analysis in R. Topics to be covered include spatial autocorrelation, habitat fragmentation, population dynamics, conservation and landscape genetics, simulation methods, niche modeling, and spatial statistics.