Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.
University of Colorado Museum of Natural History, Boulder, CO, USA.
Bioinformatics. 2016 Oct 1;32(19):3049-50. doi: 10.1093/bioinformatics/btw333. Epub 2016 Jun 10.
Biodiversity studies are relying increasingly on primary biodiversity records (PBRs) for modelling and analysis. Because biodiversity data are frequently 'harvested'-i.e. not collected by the researcher for that particular study, but obtained from data aggregators such as the Global Biodiversity Information Facility-researchers need to be aware of strengths and weaknesses of their data before they venture into further analysis. R is becoming a lingua franca of data exploration and analysis. Here, we describe an R package, bdvis, which facilitates efforts to understand the gaps and strengths of PBR data with quick and useful visualization functions.
The full code of the R package bdvis, along with instructions on how to install and use it, is available via CRAN - The Comprehensive R Archive Network (http://cran.r-project.org/web/packages/bdvis/index.html) and in the corresponding author's main GitHub repository: http://www.github.com/vijaybarve/bdvis The source code is licensed under CC0 CONTACT: vijay.barve@gmail.com.
生物多样性研究越来越依赖于初级生物多样性记录（PBR）进行建模和分析。由于生物多样性数据经常是“收获”的-即不是研究人员为特定研究收集的，而是从数据聚合器（如全球生物多样性信息设施）获得的，因此研究人员在进行进一步分析之前需要了解其数据的优缺点。R 语言正成为数据探索和分析的通用语言。在这里，我们描述了一个 R 包 bdvis，它通过快速有用的可视化功能，帮助人们了解 PBR 数据的差距和优势。
R 包 bdvis 的完整代码以及如何安装和使用它的说明可通过 CRAN（综合 R 存档网络，http://cran.r-project.org/web/packages/bdvis/index.html）获得，并可在相应作者的主要 GitHub 存储库中获得：http://www.github.com/vijaybarve/bdvis 源代码根据 CC0 许可。
