Reflected Stochastic Differential Equation Models for Constrained Animal Movement
Reflected Stochastic Differential Equation Models for Constrained Animal Movement
复制标题
约束动物运动的反射随机微分方程模型
DOI：
10.1101/152017
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
M. Hooten
中科院分区：
文献类型：
--
作者：
E. Hanks;Devin S. Johnson;M. Hooten
许多动物物种的活动受到河流、海岸线或无法逾越的悬崖等障碍物的空间限制。我们通过考虑一类约束随机过程（反映随机微分方程）来开发一种对空间约束的动物运动进行建模的方法。我们的方法概括了现有的无约束动物运动建模方法。我们提出了基于用潜在的无约束路径增强约束运动路径的模拟和推理方法，并通过模拟示例和对阿拉斯加东南部北海狮（Eumatopias jubatus）的遥测数据的分析来说明这种增强。
Movement for many animal species is constrained in space by barriers such as rivers, shorelines, or impassable cliffs. We develop an approach for modeling animal movement constrained in space by considering a class of constrained stochastic processes, reflected stochastic differential equations. Our approach generalizes existing methods for modeling unconstrained animal movement. We present methods for simulation and inference based on augmenting the constrained movement path with a latent unconstrained path and illustrate this augmentation with a simulation example and an analysis of telemetry data from a Steller sea lion (Eumatopias jubatus) in southeast Alaska.