《世界植物区系》：一个R软件包，用于根据《世界植物区系在线》分类学主干数据对植物名称进行精确和模糊匹配。
WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data.
作者信息
Kindt Roeland
机构信息
Tree Productivity and Diversity World Agroforestry P.O. Box 30677-00100 Nairobi Kenya.
出版信息
Appl Plant Sci. 2020 Sep 25;8(9):e11388. doi: 10.1002/aps3.11388. eCollection 2020 Sep.
PREMISE
The standardization of plant names is a critical step in various fields of biology, including biodiversity, biogeography, and vegetation research. The WorldFlora package is introduced here to help achieve this goal by matching lists of plant names with a static copy from World Flora Online (WFO), an ongoing global effort to complete an online flora of all known vascular plants and bryophytes by 2020.
METHODS AND RESULTS
Based on direct and fuzzy matching, WorldFlora inserts matching cases from the WFO to a submitted data set containing taxonomic names. The results and success rates for selecting the expected best single matches are presented for four data sets, including two data sets used in recent comparisons of software tools for correcting taxon names.
CONCLUSIONS
WorldFlora offers a straightforward pipeline for semi-automatic plant name checking. For the four data sets, the success rate of credible matches ranged from 94.7% to 99.9%.
前提
植物名称的标准化是生物学各个领域的关键步骤，包括生物多样性、生物地理学和植被研究。本文介绍了WorldFlora软件包，旨在通过将植物名称列表与来自《世界植物在线》（WFO）的静态副本进行匹配来帮助实现这一目标。WFO是一项正在进行的全球努力，目标是到2020年完成所有已知维管植物和苔藓植物的在线植物志。
方法与结果
基于直接匹配和模糊匹配，WorldFlora将来自WFO的匹配案例插入到包含分类学名称的提交数据集中。给出了四个数据集选择预期最佳单一匹配的结果和成功率，其中包括最近用于分类群名称校正软件工具比较的两个数据集。
结论
WorldFlora提供了一个用于半自动植物名称检查的简单流程。对于这四个数据集，可靠匹配的成功率在94.7%至99.9%之间。
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