GPGPU Acceleration of Environmental and Movement Datasets

作者: Daniel Bird, Stephen Laycock

摘要

Due to the increased availability and accuracy of GPS sensors, the field of movement ecology has been able to benefit from larger datasets of movement data. As miniaturisation and the efficiency of electronic components have improved, additional sensors have been coupled with GPS tracking to enable features related to the animal's state at a given position to be recorded. This capability is especially relevant to understand how environmental conditions may affect movement.

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