期刊
BIOINFORMATICS
卷 32, 期 19, 页码 3049-3050出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw333
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资金
- Google Summer of Code
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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