Bayesian Surprise for De-Biasing Thematic Maps // Implements Bayesian Surprise methodology for data visualization, based on Correll and Heer (2017) doi:10.1109/TVCG.2016.2598839 "Surprise! Bayesian Weighting for De-Biasing Thematic Maps". Provides tools to weight event data relative to spatio-temporal models, highlighting unexpected patterns while de-biasing against known factors like population density or sampling variation. Integrates seamlessly with 'sf' for spatial data and 'ggplot2' for visualization. Supports temporal/streaming data analysis.