arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources

IF 1 3区 农林科学 Q3 ENTOMOLOGY Journal of Arachnology Pub Date : 2021-10-01 DOI:10.1636/JoA-S-21-024
P. Cardoso, S. Pekár
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引用次数: 4

Abstract

Abstract. Online open databases are increasing in number, usefulness, and ease of use. There are currently two main global databases for spiders, the World Spider Catalogue (WSC) and the World Spider Trait (WST) database. Both are regularly used by thousands of researchers. Computational tools that allow effective processing of large data are now part of the workflow of any researcher and R is becoming a de facto standard for data manipulation, analysis, and presentation. Here we present an R package, arakno, that allows interface with the two databases. Implemented tools include checking species names against nomenclature of the WSC, obtaining and mapping data on distribution of species from both the WST and the Global Biodiversity Information Facility (GBIF), and downloading trait data from the WST. A set of tools are also provided to prepare data for further statistical analysis.
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arakno-一个用于从在线资源中有效检索蜘蛛命名、分布和特征数据的R包
摘要在线开放数据库在数量、实用性和易用性方面都在增加。目前有两个主要的蜘蛛全球数据库,世界蜘蛛目录(WSC)和世界蜘蛛特征(WST)数据库。成千上万的研究人员经常使用这两种方法。允许有效处理大数据的计算工具现在是任何研究人员工作流程的一部分,R正在成为数据操作、分析和表示的事实标准。在这里,我们展示了一个R包arakno,它允许与两个数据库进行接口。实施的工具包括对照WSC的命名法检查物种名称,从WST和全球生物多样性信息设施(GBIF)获取和绘制物种分布数据,以及从WST下载特征数据。还提供了一套工具,为进一步的统计分析准备数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Arachnology
Journal of Arachnology 生物-昆虫学
CiteScore
2.20
自引率
10.00%
发文量
34
审稿时长
>12 weeks
期刊介绍: The Journal of Arachnology publishes scientific articles reporting novel and significant observations and data regarding any aspect of the biology of arachnid groups. Articles must be scientifically rigorous and report substantially new information.
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