This course introduces a number of techniques aimed at the analysis of spatial data and will be comprised of lectures and computer labs. Lecture topics include characterization of spatial data, geographic distributions, and pattern identification within point and area objects, analysis of field data, spatial modeling and interpolation, regression methods, and cluster analysis.
Credits: 3
Prerequisites: SUR 3393, SUR 3393L, STA 2023 and 3AG-GEM classification or higher
