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bayesiansurpriser  

Bayesian Surprise for De-Biasing Thematic Maps
View on CRAN: Click here


Download and install bayesiansurpriser package within the R console
Install from CRAN:
install.packages("bayesiansurpriser")

Install from Github:
library("remotes")
install_github("cran/bayesiansurpriser")

Install by package version:
library("remotes")
install_version("bayesiansurpriser", "0.1.0")



Attach the package and use:
library("bayesiansurpriser")
Maintained by
Dmitry Shkolnik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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.
How to cite:
Dmitry Shkolnik (2026). bayesiansurpriser: Bayesian Surprise for De-Biasing Thematic Maps. R package version 0.1.0, https://cran.r-project.org/web/packages/bayesiansurpriser. Accessed 24 Oct. 2026.
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