Abstract

ArcGIS for Revealing Space-time Patterns of Livestock Diseases’ Spread
Track: Agriculture
Authors: Fedor Korennoy

We demonstrate the use of ArcGIS embedded tools for detecting spatio-temporal trends of dangerous livestock epidemics. Application of Grouping Analysis tool allows separating main space-time clusters of the disease cases. Subsequent use of Standard Deviational Ellipse within each cluster reveals the direction of local epidemic’s spread. Recently introduced Space Time Pattern Mining Tools give an excellent opportunity to reveal and visualize dynamics of the disease emergence using historical data