Efficient 3D Movement-Based Kernel Density Estimator and Application to Wildlife Ecology

Conference Paper

Title: Efficient 3D Movement-Based Kernel Density Estimator and Application to Wildlife Ecology
Publication Date:
July 13, 2014
Conference Name: 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
Conference Location: Atlanta, GA
Volume: 14
Pages: 8
Publisher: Association for Computing Machiery
Technology Type:

Document Access

Website: External Link

Citation

Tracey, J.; Sheppard, J.; Lockwood, G.; Chourasia, A.; Tatineni, M.; Fisher, R.; Sinkovits, R. (2014). Efficient 3D Movement-Based Kernel Density Estimator and Application to Wildlife Ecology. Paper Presented at the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, Atlanta, GA.
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.

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