gee-iucn-get
Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology - Earth Engine Code
Science Score: 57.0%
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
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.0%) to scientific vocabulary
Keywords
Repository
Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology - Earth Engine Code
Basic Info
- Host: GitHub
- Owner: red-list-ecosystem
- Language: JavaScript
- Default Branch: master
- Homepage: https://global-ecosystems.org/page/about
- Size: 176 KB
Statistics
- Stars: 1
- Watchers: 5
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology - Earth Engine Code
This repository contains JavaScript code used in the geospatial analysis of indicative distribution maps for the IUCN Global Ecosystem Typology. This code is developed to be run inside the Google Earth Engine platform. You must be registered to use Earth Engine.
Users with access to the repository can add it to the Code Editor using:
sh
https://code.earthengine.google.com/?accept_repo=users/jrferrerparis/IUCN-GET
This code is part of the publication:
Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en.
The data used in this code comes from the following dataset:
Keith, David A., Ferrer-Paris, Jose R., Nicholson, Emily, & Kingsford, Richard T. (2021). Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology (2.1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5090419
Owner
- Name: IUCN Red List of Ecosystems Science Team
- Login: red-list-ecosystem
- Kind: organization
- Location: UNSW | Deakin | Yale | JCU
- Website: http://iucnrle.org/
- Repositories: 23
- Profile: https://github.com/red-list-ecosystem
Citation (CITATION.cff)
cff-version: 1.2.0
authors:
- family-names: "Ferrer-Paris"
given-names: "José R."
orcid: https://orcid.org/0000-0002-9554-3395
title: "Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology - Earth Engine Code"
type: software
message: If you use this software, please cite both the report from preferred-citation and the dataset itself.
preferred-citation:
authors:
- family-names: Keith
given-names: David A.
affiliation: UNSW
- family-names: Ferrer-Paris
given-names: José R.
affiliation: UNSW
- family-names: Nicholson
given-names: Emily
- family-names: Kingsford
given-names: Richard T.
title: The IUCN Global Ecosystem Typology v2.0 - Descriptive profiles for Biomes and Ecosystem Functional Groups
doi: 10.2305/IUCN.CH.2020.13.en
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| JR.Ferrer.Paris | J****s@g****m | 92 |
| jrfep | j****s@g****m | 42 |
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0