Environmental Conservation 637 - Spatial Data Analysis in R

Spatial data provides an extra layer of information that provides an opportunity to gain powerful insights from our data. Analysis of spatial data also poses unique challenges and pitfalls. In this course, students will learn a range of techniques for analyzing data with spatial information, from both a theoretical standpoint as well as implementation of methods in R. Topics covered in the course include descriptive and inferential concepts in that students are likely to encounter in their research including (but not limited to) spatial autocorrelation, clustering, interpolation, and geographically weighted regression.