Spatial data analysis and multivariate applications are increasingly needed to address complex, geographically correlated phenomena. This workshop will cover spatial data handling in GeoDa, exploratory spatial data basics of areal data (eg. choropleth maps, parallel coordinate plots, etc), and some advanced multivariate analysis. Participants will conduct a principal component analysis and k-means cluster analysis with spatial data, mapping outcomes at each stage for additional exploration and understanding of regional dynamics. We will use relevant social determinants of health variables for the continental U.S. using 2018 5-year average Census data and calculate US-wide multidimensional indices and neighborhood typologies at the census tract scale.