predictors_complexity_paper
Science Score: 52.0%
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
Organization geco-nhm has institutional domain (www.nhm.uio.no) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (2.1%) to scientific vocabulary
Last synced: 6 months ago
·
JSON representation
·
Repository
Basic Info
- Host: GitHub
- Owner: geco-nhm
- Language: R
- Default Branch: main
- Size: 36.1 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created about 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Citation
README.md
predictorscomplexitypaper
This is a repository for scripts used in the manuscript "Choosing predictors and complexity for ecosystem distribution models". The repository contains scripts for ocurrence and predictor data preprocessing, logistic regression modelling, statistical analyses and variation partitioning.
Owner
- Name: GEco
- Login: geco-nhm
- Kind: organization
- Location: Oslo, Norway
- Website: https://www.nhm.uio.no/forskning/grupper/geco/index.html
- Repositories: 2
- Profile: https://github.com/geco-nhm
Citation (citation.cff)
cff-version: 1.1.0 message: "If you use this software, please cite it as below." authors: - family-names: "Naas" given-names: "Adam E." orcid: "https://orcid.org/0000-0001-9736-9020" title: predictors_complexity_paper version: v1.0.0 doi: "https://doi.org/10.5281/zenodo.10948619" date-released: 2024-04-09 url: "https://github.com/geco-nhm/predictors_complexity_paper"