Argos and GPS data for a polar bear track

AbstractIt is rare to be able to validate state-space models for Argos data. This dataset provides a unique opportunity to do so, because it contains simultaneous Argos and GPS data for a polar bear. The GPS locations are extremely accurate (≤30 m) compared to Argos data, which can have errors as large as 36 km depending on the quality class. The dataset contains one year of movement data, starting on April 20, 2009. The dataset was used in the associated Ecological Monographs paper to show how to fit state-space models to ecological data.

摘要 针对Argos数据的状态空间模型（state-space models）验证研究极为罕见。本数据集为该类验证提供了独一无二的契机，因其收录了北极熊同步获取的Argos与GPS定位数据。相较于Argos数据，GPS定位结果精度极高，误差不超过30米；而Argos数据的误差可达36千米，具体范围取决于其质量等级。本数据集涵盖了自2009年4月20日起一整年的动物运动轨迹数据。该数据集已被应用于同期发表于《生态学专论》（Ecological Monographs）的研究论文中，用于演示如何将状态空间模型应用于生态学数据的拟合流程。