dubicube

An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.

https://github.com/b-cubed-eu/dubicube

Science Score: 67.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • .zenodo.json file
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  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
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    Low similarity (16.4%) to scientific vocabulary

Keywords

biodiversity-indicators data-cubes r rpackage uncertainty-quantification uncertainty-visualisation
Last synced: 6 months ago · JSON representation ·

Repository

An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 7
  • Releases: 21
Topics
biodiversity-indicators data-cubes r rpackage uncertainty-quantification uncertainty-visualisation
Created over 1 year ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Codemeta Zenodo

README.md

dubicube dubicube website

repo
status Release dubicube status
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status R-CMD-check codecov DOI name status
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The dubicube package aims to deliver measures for assessing the applicability of biodiversity data cubes, whether for general use or specific biodiversity indicators. These measures facilitate data exploration by providing insights into data quality and reliability. Additionally, the package includes functions for calculating indicator uncertainty using bootstrapping, as well as tools for interpreting and visualising uncertainty in biodiversity indicators derived from occurrence cubes.

Installation

Install dubicube in R:

r install.packages("dubicube", repos = c("https://b-cubed-eu.r-universe.dev", "https://cloud.r-project.org"))

You can install the development version from GitHub with:

```r

install.packages("remotes")

remotes::install_github("b-cubed-eu/dubicube") ```

Key Features

The dubicube package offers:

🔍 1. Data Exploration & Variability Assessment

Gain insights into the structure and sensitivity of biodiversity data cubes.

  • cross_validate_cube()
    Perform cross-validation (leave-one-out or k-fold) to assess group-level sensitivity of indicators and evaluate how individual categories influence results.
    📘 Read the tutorial →

🛠️ Additional data quality diagnostics are on the way!

📈 2. Estimating Indicator Uncertainty

Use bootstrap methods to understand variability, bias, and confidence in your indicators.

  • bootstrap_cube()
    Create bootstrap replicates to estimate indicator variability, bias, and standard error.
    📘 Read the tutorial →

  • calculate_bootstrap_ci()
    Compute confidence intervals (percentile, BCa, normal, basic), with optional transformations and bias correction.
    📘 Read the tutorial →

🧠 3. Interpretation & Visualisation

Put your results in context with reference values and uncertainty thresholds.


🔗 Learn more at our website or explore the documentation.

Owner

  • Name: B-Cubed
  • Login: b-cubed-eu
  • Kind: organization

Biodiversity Building Blocks for Policy

Citation (CITATION.cff)

cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: "dubicube: Calculation and Interpretation of Data Cube Indicator Uncertainty"
authors:
- given-names: Ward
  family-names: Langeraert
  affiliation: Research Institute for Nature and Forest (INBO)
  orcid: 0000-0002-5900-8109
- given-names: Toon
  family-names: Van Daele
  affiliation: Research Institute for Nature and Forest (INBO)
  orcid: 0000-0002-1362-853X
keywords:
- uncertainty quantification
- uncertainty visualisation
- biodiversity indicators
- data cubes
contact:
- given-names: Ward
  family-names: Langeraert
  affiliation: Research Institute for Nature and Forest (INBO)
  orcid: 0000-0002-5900-8109
doi: 10.5281/zenodo.14850237
license: MIT
repository-code: https://github.com/b-cubed-eu/dubicube/
type: software
abstract: "This R package provides functions to explore data cubes using simple measures
  and cross-validation techniques. It can also be used for uncertainty calculation
  using the bootstrap resampling method, and functionality is provided for efficient
  interpretation and visualisation of uncertainty related to indicators based on occurrence
  cubes."
identifiers:
- type: doi
  value: 10.5281/zenodo.14850237
- type: url
  value: https://b-cubed-eu.github.io/dubicube/
version: 0.9.5

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  • Issue comment event: 26
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  • Push event: 178
  • Pull request review comment event: 6
  • Pull request event: 49
Last Year
  • Create event: 49
  • Issues event: 51
  • Release event: 14
  • Delete event: 22
  • Issue comment event: 26
  • Member event: 1
  • Push event: 178
  • Pull request review comment event: 6
  • Pull request event: 49

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 34
  • Total pull requests: 26
  • Average time to close issues: 13 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 0.32
  • Average comments per pull request: 0.12
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 34
  • Pull requests: 26
  • Average time to close issues: 13 days
  • Average time to close pull requests: 3 days
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.32
  • Average comments per pull request: 0.12
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • wlangera (34)
Pull Request Authors
  • wlangera (26)
  • ToonVanDaele (1)
Top Labels
Issue Labels
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Dependencies

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DESCRIPTION cran
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