A spatial perspective isn’t (just) about making compelling visualizations, but also investigating how complex human-environment interactions impact the theory, design, methods and infrastructure of research. Detangling how place impacts, interacts with and/or drives factors of health outcomes for different people and neighborhoods is essential to reducing health disparities. In this forum talk, Dr. Kolak highlights…

Come learn about some of the most widely adopted machine learning methods used for clustering of spatial data. This forum will illustrate how the algorithms work, how to interpret the results, and how and when to apply them.  We’ll go beyond the basics of several key spatial data science techniques, including density-based clustering and multivariate…