uwdata/bayesian-surprise

Name: bayesian-surprise

Owner: UW Interactive Data Lab

Description: Bayesian Weighting for De-Biasing Thematic Maps

Created: 2016-06-24 20:13:08.0

Updated: 2017-12-29 18:59:25.0

Pushed: 2016-10-27 20:29:08.0

Homepage: https://uwdata.github.io/bayesian-surprise/Demo/

Size: 50480

Language: TeX

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

Surprise! Bayesian Weighting for De-Biasing Thematic Maps

This repo contains code and other information for our paper, to be presented at InfoVis '16.

Surprise Maps use Bayesian Surprise in order to weight heatmaps and cholorpleth maps in order to highlight unexpected events.

The paper itself, and all relevant figures, are available in the Paper directory.

Sample code for computing surprise maps is available in the Code directory.

An interactive demo of a sample surprise map is available in the Demo directory, or running in github pages.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.