Name
Title | ||
|---|---|---|
Efficient 3D Movement-Based Kernel Density Estimator and Application to Wildlife Ecology |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2616498.2616522 | XSEDE |
Keywords | Field | DocType |
algorithms,wildlife ecology,concurrent programming,systems and software,visualization,performance optimization,biotelemetry,parallel computing,performance | Data mining,Mathematical optimization,Computer science,Visualization,Wildlife,Global Positioning System,Computer engineering,Biotelemetry,Kernel density estimation,Restructuring | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeff A. Tracey | 1 | 0 | 0.34 |
| James K. Sheppard | 2 | 0 | 0.34 |
| Glenn K. Lockwood | 3 | 3 | 1.22 |
| Amit Chourasia | 4 | 73 | 9.53 |
| Mahidhar Tatineni | 5 | 99 | 15.32 |
| Robert N. Fisher | 6 | 0 | 0.34 |
| Robert S Sinkovits | 7 | 72 | 12.01 |