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Related Concept Videos

Interpreting R Charts01:22

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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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Related Experiment Video

Updated: Mar 19, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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bdvis: visualizing biodiversity data in R.

Vijay Barve1, Javier Otegui2

  • 1Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.

Bioinformatics (Oxford, England)
|June 12, 2016
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Summary

Researchers can now use the R package bdvis to visualize strengths and weaknesses in primary biodiversity records (PBRs). This tool aids in understanding data quality for ecological modeling and analysis.

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Data Science

Background:

  • Biodiversity studies increasingly utilize primary biodiversity records (PBRs) for ecological modeling and analysis.
  • Harvested biodiversity data, often sourced from aggregators like GBIF, requires careful assessment of strengths and weaknesses before use.
  • The R programming language is a prevalent tool for data exploration and analysis in scientific research.

Purpose of the Study:

  • To introduce bdvis, an R package designed to aid researchers in evaluating PBR data quality.
  • To provide functions for quick and informative visualization of PBR data gaps and strengths.
  • To enhance the reliability of biodiversity research through better data understanding.

Main Methods:

  • Development of an R package named bdvis.
  • Implementation of visualization functions within the bdvis package.
  • Utilizing R for data exploration and analysis of PBRs.

Main Results:

  • The bdvis package offers accessible visualization tools for PBR data.
  • Researchers can efficiently identify data gaps and assess data strengths using bdvis.
  • Facilitates informed decision-making in biodiversity data analysis.

Conclusions:

  • bdvis empowers researchers to critically evaluate biodiversity data.
  • Improved understanding of PBR data quality leads to more robust ecological models.
  • The package supports the responsible use of biodiversity data in scientific research.