Detailed Agenda

Spatial data science is an iterative process that extends beyond the running of one tool—it is about posing questions, figuring out the appropriate data to answer those questions, finding the appropriate methods that truly answer those questions, evaluating the results, iterating until you get it right, and communicating results in compelling and effective ways. In this presentation, speakers share examples of applying this process to an important, real-world problem. The examples provide ideas and approaches to help you connect it all back to the problems that you want to help solve.