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

J 2022

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

CARDOSO, Pedro and Stanislav PEKÁR

Basic information

Original name

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

Authors

CARDOSO, Pedro (guarantor) and Stanislav PEKÁR (703 Slovakia, belonging to the institution)

Edition

Journal of Arachnology, MD USA, American Arachnological Society, 2022, 0161-8202

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

10616 Entomology

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Impact factor

Impact factor: 1.000

RIV identification code

RIV/00216224:14310/22:00128117

Organization unit

Faculty of Science

DOI

https://doi.org/10.1636/JoA-S-21-024

UT WoS

000791316800005

EID Scopus

2-s2.0-85130682147

Keywords in English

Araneae; biological traits; functional diversity; geographical range; taxonomy

Abstract

In the original language

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.

Cite

CARDOSO, Pedro and Stanislav PEKÁR. arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources. Journal of Arachnology. MD USA: American Arachnological Society, 2022, vol. 50, No 1, p. 30-32. ISSN 0161-8202. Available from: https://doi.org/10.1636/JoA-S-21-024.

@article{2247805,
   author = {Cardoso, Pedro and Pekár, Stanislav},
   article_location = {MD USA},
   article_number = {1},
   doi = {https://doi.org/10.1636/JoA-S-21-024},
   keywords = {Araneae; biological traits; functional diversity; geographical range; taxonomy},
   language = {eng},
   issn = {0161-8202},
   journal = {Journal of Arachnology},
   title = {arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources},
   url = {https://doi.org/10.1636/JoA-S-21-024},
   volume = {50},
   year = {2022}
}

TY  - JOUR
ID  - 2247805
AU  - Cardoso, Pedro - Pekár, Stanislav
PY  - 2022
TI  - arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources
JF  - Journal of Arachnology
VL  - 50
IS  - 1
SP  - 30-32
EP  - 30-32
PB  - American Arachnological Society
SN  - 01618202
KW  - Araneae
KW  - biological traits
KW  - functional diversity
KW  - geographical range
KW  - taxonomy
UR  - https://doi.org/10.1636/JoA-S-21-024
N2  - 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.
ER  -

CARDOSO, Pedro and Stanislav PEKÁR. arakno - An R package for effective spider nomenclature, distribution and trait data retrieval from online resources. \textit{Journal of Arachnology}. MD USA: American Arachnological Society, 2022, vol.~50, No~1, p.~30-32. ISSN~0161-8202. Available from: https://doi.org/10.1636/JoA-S-21-024.

Přehled o publikaci