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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "bayesiansurpriser" in publications use:'
type: software
license: MIT
title: 'bayesiansurpriser: Bayesian Surprise for De-Biasing Thematic Maps'
version: 0.1.0
doi: 10.32614/CRAN.package.bayesiansurpriser
abstract: Implements Bayesian Surprise methodology for data visualization, based on
  Correll and Heer (2017) <https://doi.org/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.
authors:
- family-names: Shkolnik
  given-names: Dmitry
  email: shkolnikd@gmail.com
repository: https://dshkol.r-universe.dev
repository-code: https://github.com/dshkol/bayesiansurpriser
commit: 83e5f8b06e55a39c93e622582c5be8d57c5680c6
url: https://dshkol.github.io/bayesiansurpriser/
date-released: '2026-04-21'
contact:
- family-names: Shkolnik
  given-names: Dmitry
  email: shkolnikd@gmail.com