dubicube
An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.
Science Score: 67.0%
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✓CITATION.cff file
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✓DOI references
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Low similarity (16.4%) to scientific vocabulary
Keywords
Repository
An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.
Basic Info
- Host: GitHub
- Owner: b-cubed-eu
- License: other
- Language: R
- Default Branch: main
- Homepage: https://b-cubed-eu.github.io/dubicube/
- Size: 5.39 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 7
- Releases: 21
Topics
Metadata Files
README.md
dubicube 
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.
add_effect_classification()
Classify indicator trends (e.g. increase, stable, decrease) by comparing confidence intervals to thresholds.
📘 Read the tutorial →Spatial and temporal interpretation
Learn how to visualise and assess patterns across space and time using indicator uncertainty.
📘 Best practices for temporal trends →
📘 Best practices for spatial trends →
🔗 Learn more at our website or explore the documentation.
Owner
- Name: B-Cubed
- Login: b-cubed-eu
- Kind: organization
- Website: https://b-cubed.eu
- Repositories: 1
- Profile: https://github.com/b-cubed-eu
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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GitHub Events
Total
- 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
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
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