Suppr超能文献

bdvis:在 R 中可视化生物多样性数据。

bdvis: visualizing biodiversity data in R.

机构信息

Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.

University of Colorado Museum of Natural History, Boulder, CO, USA.

出版信息

Bioinformatics. 2016 Oct 1;32(19):3049-50. doi: 10.1093/bioinformatics/btw333. Epub 2016 Jun 10.

Abstract

UNLABELLED

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.

AVAILABILITY AND IMPLEMENTATION

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.

摘要

未加标签

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。

可用性和实现

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。

联系人

vijay.barve@gmail.com

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验