Document Type

Student Presentation

Presentation Date



College of Arts and Sciences


Department of Mathematics

Faculty Mentor

Joe Champion, Ph.D.


Throughout the state of Idaho, there are remote sensing stations to record precipitation. Using a data set of 10 million values from 1999 to 2019, I implemented a Bayesian updating scheme in R to estimate the daily probability of precipitation across 82 Idaho locations. I mapped these probabilities with the tmap package using inverse distance weighting (IDW) for spatial interpolation. The poster will describe the data, custom implementation of a Bayesian updating algorithm including sample code, and results. Possible extensions include using data across a bigger region than Idaho, or building animated maps to show seasonal patterns.