Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (19.4%) to scientific vocabulary
Keywords
biodiversity-indicators
data-cubes
Last synced: 6 months ago
·
JSON representation
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Repository
B-Cubed General Biodiversity Indicators
Basic Info
- Host: GitHub
- Owner: b-cubed-eu
- License: other
- Language: R
- Default Branch: main
- Homepage: https://b-cubed-eu.github.io/b3gbi/
- Size: 81.7 MB
Statistics
- Stars: 6
- Watchers: 4
- Forks: 2
- Open Issues: 9
- Releases: 24
Topics
biodiversity-indicators
data-cubes
Created over 2 years ago
· Last pushed 6 months ago
Metadata Files
Readme
Changelog
Contributing
License
Code of conduct
Citation
Codemeta
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# b3gbi
[](https://www.repostatus.org/#wip)
[](https://github.com/b-cubed-eu/b3gbi/releases)
[](https://b-cubed-eu.r-universe.dev/b3gbi)
[](https://CRAN.R-project.org/package=b3gbi)
[](https://github.com/b-cubed-eu/b3gbi/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/b-cubed-eu/b3gbi/)
[](https://b-cubed-eu.r-universe.dev/)
Analyze biodiversity trends and spatial patterns from GBIF data cubes, using flexible indicators like richness, evenness, and more.
## Overview
Biodiversity researchers need robust and standardized tools to analyze the vast amounts of data available on platforms like GBIF. The b3gbi package leverages the power of data cubes to streamline biodiversity assessments. It helps researchers gain insights into:
* **Changes Over Time:** How biodiversity metrics shift throughout the years.
* **Spatial Variations:** Differences in biodiversity across regions, identifying hotspots or areas of concern.
* **The Impact of Factors:** How different environmental variables or human activities might affect biodiversity patterns.
## Key Features
b3gbi empowers biodiversity analysis with:
* **Standardized Workflows:** Simplify the process of calculating common biodiversity indicators from GBIF data cubes.
* **Flexibility:** Calculate richness, evenness, rarity, taxonomic distinctness, Shannon-Hill diversity, Simpson-Hill diversity, and more.
* **Analysis Options:** Explore temporal trends or create spatial maps.
* **Visualization Tools:** Generate publication-ready plots of your biodiversity metrics.
## Installation
Install **b3gbi** in R:
``` r
install.packages("b3gbi", repos = c("https://b-cubed-eu.r-universe.dev", "https://cloud.r-project.org"))
```
You can install the development version from
[GitHub](https://github.com/) with:
``` r
# install.packages("remotes")
remotes::install_github("b-cubed-eu/b3gbi")
```
## Example
This is a basic example which shows you how to calculate and plot a map of species richness for a data cube containing GBIF occurrence data on amphibians in Europe:
```{r example, warning = FALSE, message = FALSE}
# Load package
library(b3gbi)
# Load GBIF data cube
cube_name <- system.file("extdata", "denmark_mammals_cube_eqdgc.csv", package = "b3gbi")
# Prepare cube
mammal_data <- process_cube(cube_name)
# Calculate diversity metric
map_obs_rich_mammals <- obs_richness_map(mammal_data, level = "country", region = "Denmark", ne_scale = "medium")
# Plot diversity metric
plot(map_obs_rich_mammals, title = "Observed Species Richness: Mammals in Denmark")
```
For a more in-depth introduction, see the tutorial: https://b-cubed-eu.github.io/b3gbi/articles/b3gbi.html.
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)
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# CITATION file created with {cffr} R package, v0.5.0
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
cff-version: 1.2.0
message: 'To cite package "b3gbi" in publications use:'
type: software
license: MIT
title: 'b3gbi: General Biodiversity Indicators for Biodiversity Data Cubes'
version: 0.7.0
abstract: Calculate general biodiversity indicators from GBIF data cubes. Includes
many common indicators such as species richness and evenness, which can be calculated
over time (trends) or space (maps).
authors:
- family-names: Dove
given-names: Shawn
email: Shawn.Dove@allzool.bio.uni-giessen.de
orcid: https://orcid.org/0000-0001-9465-5638
repository-code: https://github.com/b-cubed-eu/b3gbi
url: https://b-cubed-eu.github.io/b3gbi/
contact:
- family-names: Dove
given-names: Shawn
email: Shawn.Dove@allzool.bio.uni-giessen.de
orcid: https://orcid.org/0000-0001-9465-5638
keywords:
- biodiversity-indicators
- data-cubes
references:
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notes: Imports
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repository: https://CRAN.R-project.org/package=labeling
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notes: Imports
url: https://magrittr.tidyverse.org
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url: https://purrr.tidyverse.org/
repository: https://CRAN.R-project.org/package=purrr
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}
GitHub Events
Total
- Create event: 40
- Release event: 19
- Issues event: 29
- Watch event: 4
- Delete event: 21
- Issue comment event: 50
- Push event: 285
- Pull request review event: 5
- Pull request event: 37
- Fork event: 1
Last Year
- Create event: 40
- Release event: 19
- Issues event: 29
- Watch event: 4
- Delete event: 21
- Issue comment event: 50
- Push event: 285
- Pull request review event: 5
- Pull request event: 37
- Fork event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 22
- Total pull requests: 44
- Average time to close issues: 2 months
- Average time to close pull requests: 2 days
- Total issue authors: 5
- Total pull request authors: 4
- Average comments per issue: 1.41
- Average comments per pull request: 0.61
- Merged pull requests: 39
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 14
- Pull requests: 33
- Average time to close issues: 9 days
- Average time to close pull requests: 3 days
- Issue authors: 5
- Pull request authors: 2
- Average comments per issue: 1.71
- Average comments per pull request: 0.82
- Merged pull requests: 28
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- wlangera (14)
- damianooldoni (6)
- KatelynFaulkner (1)
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- damianooldoni (2)
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Dependencies
DESCRIPTION
cran
- R >= 2.10 depends
- dplyr * depends
- ggplot2 * depends
- furrr * imports
- future * imports
- iNEXT * imports
- magrittr * imports
- permute * imports
- purrr * imports
- readr * imports
- rnaturalearth * imports
- sf * imports
- taxize * imports
- tibble * imports
- tidyr * imports
- units * imports
- vegan * imports
- testthat >= 3.0.0 suggests