基于高斯模型的 T-LoCoH候鸟家域估计算法研究及应用

摘要

With the development of GPS technology, the home range estimation based on animal trajectory data becomes one of the important parts of trajectory data research. The exsisting T-LoCoH algorithm did not consider the signiifcant differences in the movement rate during the different stages of the migratory, so it is not suitable for bird home range estimation. To solve the problem, we try to separate the activities of bird’s motion into segments, and propose a Gaussian velocity model to estimate the maximum velocity of bird’s movement segment, combining with T-LoCoH method to estimate the home range of every movement stages. Experiments show that the algorithm of Gaussian based T-LoCoH can estimate the bird home range more accurately.%近年来，随着GPS定位技术的发展，动物轨迹数据成为了当前的研究热点，其中动物家域估计是轨迹数据研究的重要部分。已有的T-LoCoH家域估计算法没有考虑候鸟迁徙行为在速度上的显著差异性，不适合候鸟家域估计。针对以上问题，本文提出将候鸟运动轨迹数据按其活动的周期性分段，并使用高斯模型估算其各阶段的最大运动速度，再结合T-LoCoH方法估计出候鸟在各个运动阶段的家域。实验表明，这种基于高斯模型的T-LoCoH候鸟家域估计算法能更精确地划分候鸟在各阶段的活动范围。