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 […]

In the R world, lme4 is a great package for mixed model estimation, and the most widely used for such models.  For standard settings, few tools will do the trick […]

If you use R, there’s a decent chance you are already familiar with using Rmarkdown files and the knitr package to create reports documenting your analyses. A lesser known but […]

Geostatistics models continuous variation over geographical space. It is widely used for spatial interpolation. We will use R and ArcGIS to explore and develop an understanding of variogram and kriging […]