Real Estate Data Modeling

4 credits

Covers a variety of different issues that arise when analyzing and modeling land, residential, and commercial real estate markets. Uses GIS and teaches students how to collect, clean, use, manage, and model a variety of data sets to make real-world decisions. Covers suitability and exploratory spatial data analyses. Prerequisite: R E 250; R E 397; and R E 416.