arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00128117" target="_blank" >RIV/00216224:14310/22:00128117 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1636/JoA-S-21-024" target="_blank" >https://doi.org/10.1636/JoA-S-21-024</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1636/JoA-S-21-024" target="_blank" >10.1636/JoA-S-21-024</a>
Alternative languages
Result language
angličtina
Original language name
arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10616 - Entomology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Arachnology
ISSN
0161-8202
e-ISSN
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Volume of the periodical
50
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
3
Pages from-to
30-32
UT code for WoS article
000791316800005
EID of the result in the Scopus database
2-s2.0-85130682147