h3_indicators
Notebooks and documentation about computing H3 biodiversity indicators
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.9%) to scientific vocabulary
Repository
Notebooks and documentation about computing H3 biodiversity indicators
Basic Info
- Host: GitHub
- Owner: NOAA-GIS4Ocean
- License: cc0-1.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://noaa-gis4ocean.github.io/H3_indicators/
- Size: 124 MB
Statistics
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 3
- Releases: 3
Metadata Files
README.md
H3_indicators
Notebooks and documentation about computing biodiversity indicators from the Ocean Biodiversity Information System (OBIS) snapshots (periodic full exports of the OBIS database) on H3 grids.
💾 Source data
The data sourced for this effort comes from the publicly available OBIS snapshots, which can be found at https://api.obis.org/export.
❓ What's in this repo?
GIS4Ocean_h3_indicators.Rmd- downloads the most recent snapshot,
- clips the data to US Waters as identified in the shapefiles.
- grids the data to a determined H3 grid resolution,
- computes various indicators using the
obisindicatorsR package, - saves the results to
.geojsonfiles in thedata/directory.
GIS4Ocean_h3_indicators.R- Same as above but in an R script file instead of Rmarkdown. In an attempt to simplify the infrastructure needed to run the code (ie. remove requirement to run Rmarkdown files)
GIS4Ocean_h3_indicators.ipynb- Work In Progress: Draft conversion of the R code above into Python for use in cloud computing infrastructure (eg. Dask).
read_and_plot_geojson_heatmap.ipynb- Example notebook showing how to read geojson files and plot the data on an interactive map.
data/- Output
.geojsonindicator files at various resolutions. - Includes shapefile for "US Waters".
- Output
website/:create_indicator_webpages.pyreads.geojsondata and creates an html map to serve on the GitHub Pages website.
👁️Where can I see the results?
The resultant data are served as interactive maps at https://noaa-gis4ocean.github.io/H3_indicators/.
The maps are generated via GitHub Action which update everytime a file is changed in data/.
🖐️ Want to help out?
- Check out our CONTRIBUTING GUIDE for more details.
Repository citation
Owner
- Name: NOAA-GIS4Ocean
- Login: NOAA-GIS4Ocean
- Kind: organization
- Repositories: 1
- Profile: https://github.com/NOAA-GIS4Ocean
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: H3_indicators
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Mathew
family-names: Biddle
orcid: 'https://orcid.org/0000-0003-4897-1669'
- given-names: Laura
family-names: Brenskelle
orcid: 'https://orcid.org/0000-0002-9284-8871'
- given-names: Mimi
orcid: 'https://orcid.org/0000-0002-4026-1390'
family-names: Diorio
repository-code: 'https://github.com/NOAA-GIS4Ocean/H3_indicators/'
url: 'https://noaa-gis4ocean.github.io/H3_indicators/'
abstract: >-
Notebooks and documentation about computing H3
biodiversity indicators.
keywords:
- H3
- biodiversity
- OBIS
- IOOS
- NMS
license: CC0-1.0
version: v0.6
date-released: '2025-03-31'
GitHub Events
Total
- Create event: 4
- Release event: 2
- Issues event: 6
- Watch event: 3
- Delete event: 1
- Issue comment event: 5
- Push event: 11
- Pull request event: 11
Last Year
- Create event: 4
- Release event: 2
- Issues event: 6
- Watch event: 3
- Delete event: 1
- Issue comment event: 5
- Push event: 11
- Pull request event: 11
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 2
- Total pull requests: 4
- Average time to close issues: 3 months
- Average time to close pull requests: 3 days
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.5
- Average comments per pull request: 0.25
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 4
- Average time to close issues: 3 months
- Average time to close pull requests: 3 days
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.5
- Average comments per pull request: 0.25
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- MathewBiddle (8)
Pull Request Authors
- MathewBiddle (11)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- JamesIves/github-pages-deploy-action v4 composite
- actions/checkout v4 composite
- mamba-org/setup-micromamba v1 composite
- R >= 4.1.1 depends
- dplyr * imports
- ggplot2 * imports
- gsl * imports
- h3 * imports
- jsonlite * imports
- rgdal * imports
- sf * imports
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests
- dask
- dask-geopandas
- fastparquet
- geojson
- geopandas >=0.13.2
- h3
- h3-py 3.7.7.*
- h3pandas
- ipykernel
- pandas
- pyarrow
- python 3.12.*