基于静息事件网络的动物日常活动模式分析
Animal daily mobility patterns analysis using resting event networks
摘要：
描述动物的运动模式是至关重要的，以提高我们对他们的行为的理解，从而制定适当的保护策略。这种调查，这不能在实践中实施只有几年前，已通过最近的进展，使研究人员能够研究动物运动在一个前所未有的时空分辨率的跟踪方法，促进。然而，从时空轨迹中识别和提取模式仍然是一个与许多应用相关的普遍问题。在这里，我们依赖于休息事件网络的概念，以确定存在的日常流动模式的动物时空轨迹。我们说明了我们的方法，通过分析几种鱼类在一个大的水力调峰河流的时空轨迹。
英文摘要：
Characterizing the movement patterns of animals is crucial to improve our understanding of their behavior and thus develop adequate conservation strategies. Such investigations, which could not have been implemented in practice only a few years ago, have been facilitated through the recent advances in tracking methods that enable researchers to study animal movement at an unprecedented spatio-temporal resolution. However, the identification and extraction of patterns from spatio-temporal trajectories is still a general problem that has relevance for many applications. Here, we rely on the concept of resting event networks to identify the presence of daily mobility patterns in animal spatio-temporal trajectories. We illustrate our approach by analyzing spatio-temporal trajectories of several fish species in a large hydropeaking river.
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