ENT 5126 Spatial and Temporal Analysis of Ecological Data
It is well known that spatial and temporal dependence in ecological data can affect experimental inference; what is less apparent is how to detect potential problems, determine their severities, and apply appropriate methodologies so analyses will withstand peer-review scrutiny. The semester starts with a brief refresher on data management and linear models (regression and ANOVA). In the second half of the semester, these “classic" frameworks are extended to scratch the surface of temporal data analysis and the three major areas of spatial statistics: spatial point processes, lattice data, and geostatistics. This course bridges sufficient theory to understand why contending with spatiotemporal dependence in data is important with enough application to make student confident to tackle their thesis or dissertation data.