Measuring how location matters: Spatial-temporal Aggregated Predictors in R

This month we're excited to welcome Adam Peterson for a talk covering a new method in spatial statistics, implemented in an R package.

Pizza and beverages will be provided (thanks SPARK)!

Please join us afterwards for drinks and conversation somewhere nearby (TBD).

Adam Peterson is a PhD student in the Department of Biostatistics at the University of Michigan. His dissertation work focuses on methods for analyzing the built environment.

Abstract:

How do the grocery stores, coffee shops, restaurants, etc. that you live near affect your health? Furthermore, how does the time spent near or distance to their location determine that effect? I propose a novel statistical model: "Spatial Temporal Aggregated Predictors" that attempts to answer these questions, as well as provide an R package to fit such models. I'll illustrate the model using simulations and proprietary data.