rphylopic: An R package for fetching, transforming, and visualising PhyloPic silhouettes

Author:

Gearty William1ORCID,Jones Lewis A.2ORCID

Affiliation:

1. Division of Paleontology, American Museum of Natural History New York City New York USA

2. Grupo de Ecoloxía Animal, Departamento de Ecoloxía e Bioloxía Animal, Centro de Investigación Mariña Universidade de Vigo Vigo Spain

Abstract

Abstract Effective data visualisation is vital for data exploration, analysis and communication in research. In ecology and evolutionary biology, data are often associated with various taxonomic entities. Graphics of organisms associated with these taxa are valuable for framing results within a broader biological context. However, acquiring and using such resources can be challenging due to availability and licensing constraints. The PhyloPic database solves many of these issues by making organism silhouettes freely available. Tools that integrate this database with existing research workflows are needed to remove hurdles associated with data visualisation in the biological sciences. Here, we introduce rphylopic, an R package for fetching, transforming and visualising silhouettes of organisms from the PhyloPic database. In addition to making over 8000 organism silhouettes available within the R programming language, rphylopic empowers users to modify the appearance of these silhouettes for ultimate customisability when coding production–quality visualisations in both base R and ggplot2 workflows. In this work, we provide details about how the package can be installed, its implementation and potential use cases. For the latter, we showcase three examples across the ecology and evolutionary biology spectrum. Our hope is that rphylopic will make it easier for biologists to develop more accessible and engaging data visualisations by making external resources readily accessible, customisable and usable within R. In turn, by integrating into existing workflows, rphylopic helps to ensure that science is reproducible and accessible.

Funder

European Commission

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Reference27 articles.

1. Ali S. M. Gupta N. Nayak G. K. &Lenka R. K.(2016).Big data visualization: Tools and challenges.2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) pp. 656–660.https://doi.org/10.1109/IC3I.2016.7918044

2. Csárdi G. Hester J. Wickham H. Chang W. Morgan M. &Tenenbaum D.(2023).remotes: R package installation from remote repositories including ‘GitHub’.https://CRAN.R‐project.org/package=remotes

3. Dollo meets Bergmann: morphological evolution in secondary aquatic mammals

4. Gearty W.(2023).deeptime: Plotting tools for anyone working in deep time(R package 1.0.1) [Computer software].https://CRAN.R‐project.org/package=deeptime

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3