College of Arts and Sciences
Department of Mathematics
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.
Sukianto, Thea, "Will It Snow?: Using R to Estimate and Visualize Probability of Precipitation" (2021). Research Computing Days 2021. 7.