bdvis: visualizing biodiversity data in R
Author(s) -
Vijay Barve,
Javier Otegui
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw333
Subject(s) - computer science , strengths and weaknesses , visualization , biodiversity , code (set theory) , data science , the internet , world wide web , data visualization , source code , database , information retrieval , data mining , ecology , operating system , programming language , set (abstract data type) , philosophy , epistemology , biology
Biodiversity studies are relying increasingly on primary biodiversity records (PBRs) for modelling and analysis. Because biodiversity data are frequently 'harvested'-i.e. not collected by the researcher for that particular study, but obtained from data aggregators such as the Global Biodiversity Information Facility-researchers need to be aware of strengths and weaknesses of their data before they venture into further analysis. R is becoming a lingua franca of data exploration and analysis. Here, we describe an R package, bdvis, which facilitates efforts to understand the gaps and strengths of PBR data with quick and useful visualization functions.
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