Efficient 3D movement-based kernel density estimator and application to wildlife ecology

By: , and 

Links

Abstract

We describe an efficient implementation of a 3D movement-based kernel density estimator for determining animal space use from discrete GPS measurements. This new method provides more accurate results, particularly for species that make large excursions in the vertical dimension. The downside of this approach is that it is much more computationally expensive than simpler, lower-dimensional models. Through a combination of code restructuring, parallelization and performance optimization, we were able to reduce the time to solution by up to a factor of 1000x, thereby greatly improving the applicability of the method.

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Efficient 3D movement-based kernel density estimator and application to wildlife ecology
DOI 10.1145/2616498.2616522
Year Published 2014
Language English
Publisher ACM
Contributing office(s) Western Ecological Research Center
Description art14
Larger Work Type Conference Paper
Larger Work Subtype Conference Paper
Larger Work Title Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
Conference Title 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
Conference Location Atlanta, GA
Conference Date July 13-18, 2014
Online Only (Y/N) N
Additional Online Files (Y/N) N