Online Program Home
  My Program

Abstract Details

Activity Number: 185 - SPEED: Environmental Statistics
Type: Contributed
Date/Time: Monday, July 31, 2017 : 11:35 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract #325220
Title: Extreme Value Based Methods for Modeling Elk Dispersal
Author(s): Dhanushi Wijeyakulasuriya* and Ephraim M Hanks and Benjamin A Shaby
Companies: Pennsylvania State University and The Pennsylvania State University and Penn State University
Keywords: spatial extremes ; elk dispersal
Abstract:

The dispersal of elk in Yellowstone National Park is an important driver in the spread of the infectious disease Brucellocis through both elk and cattle. Elk movement shows both heavy-tailed dispersal behavior and nonuniform habitat selection as elk avoid high elevations during the winter months. We model both phenomena jointly by proposing an extreme value distribution model for heavy-tailed elk dispersal, modeled either using spliced or mixture distributions for dispersal distance. This dispersal model is paired with a resource selection function approach for elk habitat preference. We apply this approach to 700 elk-years of elk movement, and explore possible spread of infectious disease through Yellowstone National Park model through simulation studies.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2017 program

 
 
Copyright © American Statistical Association