Purdue Research Foundation

Yun Jang

David Scott Ebert

Ross Maciejewski

William Cleveland

Eduardo Tejada-Gamero

Sandra Amass

Thomas Ertl

Benjamin N Tyner

Nikolai Svakhine

Kelly P Gaither

A system and method for visually displaying and analyzing public health data for geospatial and/or time variations, including the collection of symptom data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method such as applying CUSUM analysis, quantile measures, and/or bootstrapping analysis, and displaying the result to a user via a visual analytics arrangement.

Animal symptom visual analytics

A system and method for rendering flows and volumes includes the steps of generating a preintegrated table, the preintegrated table having a plurality of entries, each of the plurality of entries having color information and opacity information, generating illustrative effects based on the plurality of entries of the preintegrated table and displaying the illustrative effects.

System and method for rendering flow and volumes

Growing community of inventors

West Lafayette, IN, United States of America

Yun Jang