Demo Data from VLDB 2026 / reviewers in the wild / expert
Vijay Barve
dblp:152/1564
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0002-4852-2567ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 77% Bioinformatics and computational biology · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Environmental and earth informatics
biodiversity informatics |
0.2 | 1 | 2016 | bdvis: visualizing biodiversity data in R · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
r package development · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | bdvis: visualizing biodiversity data in RabstractUNLABELLED: 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. AVAILABILITY AND IMPLEMENTATION: The full code of the R package bdvis, along with instructions on how to install and use it, is available via CRAN - The Comprehensive R Archive Network (http://cran.r-project.org/web/packages/bdvis/index.html) and in the corresponding author's main GitHub repository: http://www.github.com/vijaybarve/bdvis The source code is licensed under CC0 CONTACT: [email protected]. Vijay Barve, Javier Otegui |
Bioinform. | 1 |