Over the past two decades there have been many advancements in modeling capture–recapture (CR) data to account for emerging data collection technology and techniques. Spatial capture–recapture (SCR) models have been introduced to estimate population size and numerous other demographic parameters from spatially explicit CR data. Recently SCR models have also begun incorporating realistic animal movement to account for individual dispersion and attraction to resources. While some species of animals are known to exhibit attractive behavior, nearly all SCR models assume complete independence among individual's movement and capture probability. In this article, we introduce an SCR model which allows for attractions between individuals via their daily location. We demonstrate via a simulation study that accounting for the attractions specified by our model, when present, can improve population size estimation. In addition, we apply our model to an iconic SCR dataset to estimate the population size and attraction parameters of a Bengal tiger (Panthera tigris tigris) population.

中文翻译：

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具有个体间吸引力的空间捕获-捕获模型

在过去的二十年中，在建模捕获-再捕获（CR）数据方面取得了许多进步，以说明新兴的数据收集技术。引入了空间捕获-捕获（SCR）模型，以从空间明确的CR数据估算人口规模和许多其他人口统计参数。最近，SCR模型也开始结合现实的动物运动来考虑个体的分散和对资源的吸引。尽管已知某些动物表现出诱人的行为，但几乎所有SCR模型都假设个体的运动和捕获概率完全独立。在本文中，我们介绍了一个SCR模型，该模型可以通过个人的日常位置吸引各个人之间的吸引力。我们通过模拟研究表明，考虑模型所指定的吸引力（如果存在）可以改善人口规模估算。此外，我们将模型应用于SCR的标志性数据集，以估算孟加拉虎的种群数量和吸引力参数（Panthera tigris tigris）人口。