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assignR: An r package for isotope‐based geographic assignment
Methods in Ecology and Evolution ( IF 6.6 ) Pub Date : 2020-06-21 , DOI: 10.1111/2041-210x.13426 Chao Ma 1, 2 , Hannah B. Vander Zanden 3 , Michael B. Wunder 4 , Gabriel J. Bowen 1
中文翻译:
AssignR:用于基于同位素的地理分配的r包
更新日期:2020-06-21
Methods in Ecology and Evolution ( IF 6.6 ) Pub Date : 2020-06-21 , DOI: 10.1111/2041-210x.13426 Chao Ma 1, 2 , Hannah B. Vander Zanden 3 , Michael B. Wunder 4 , Gabriel J. Bowen 1
Affiliation
- Methods for inferring geographic origin from the stable isotope composition of animal tissues are widely used in movement ecology, but few computational tools and standards for data interpretation are available.
- We introduce the assignR r package, which provides a structured, flexible toolkit for isotope‐based migration data analysis and interpretation using a widely adopted semi‐parametric Bayesian inversion method.
- assignR bundles data resources and functions that support data interpretation, hypothesis‐testing and quality assessment, allowing end‐to‐end data analysis with only a few lines of code. Tools for post hoc analysis offer robust, standardized methods for aggregating information from multiple individuals, assignment of individuals to a sub‐region of the study area and comparison of potential regions of origin using odds ratios. Assessment tools quantify the quality and power of the isotopic assignments and can be used to test prototype study designs.
- The assignR package should increase the accessibility of isotopic geolocation methods. assignR supports flexible data sources and analysis decisions, making it suitable for a wide range of applications, but also promotes standardization that will help foster increased consistency and comparability among studies and a more holistic understanding of animal migration. Lastly, assignR can help make isotope‐based geolocation research more efficient by helping researchers plan projects to be optimally aligned with their research questions.
中文翻译:
AssignR:用于基于同位素的地理分配的r包
- 从动物组织的稳定同位素组成推断地理起源的方法已广泛用于运动生态学中,但很少有计算工具和用于数据解释的标准。
- 我们介绍了assignR r软件包,它使用广泛采用的半参数贝叶斯反演方法提供了结构化,灵活的工具包,用于基于同位素的迁移数据分析和解释。
- AssignR捆绑了数据资源和功能,这些数据资源和功能支持数据解释,假设检验和质量评估,从而仅需几行代码即可进行端到端数据分析。事后分析工具提供了强大的,标准化的方法,可用于汇总来自多个个体的信息,将个体分配到研究区域的子区域以及使用比值比对潜在来源区域进行比较。评估工具可量化同位素分配的质量和功效,并可用于测试原型研究设计。
- 该assignR包装应加大同位素地理位置方法的可访问性。AssignR支持灵活的数据源和分析决策,使其适用于广泛的应用程序,而且还促进了标准化,这将有助于促进研究之间的一致性和可比性,以及对动物迁徙的更全面的了解。最后,assignR通过帮助研究人员计划与他们的研究问题最佳匹配的项目,可以帮助提高基于同位素的地理定位研究的效率。