This workshop will cover introductory concepts, tools, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that emphasizes the idea of spatial correlation via neighborhood.

The workshop will focus on conceptual aspects, diagnostics tests, implementation in R, and interpretation of results.