spatiotemporal_topic_modeling_reveals
https://github.com/san-soucie/spatiotemporal_topic_modeling_reveals
Science Score: 44.0%
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
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: san-soucie
- License: mit
- Language: Python
- Default Branch: main
- Size: 697 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.md
Figures for San Soucie et al. 2023
Owner
- Login: san-soucie
- Kind: user
- Repositories: 4
- Profile: https://github.com/san-soucie
Citation (CITATION.cff)
cff-version: 1.2.0
title: spatiotemporal_topic_modeling_reveals
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: John
family-names: San Soucie
email: jsansoucie@whoi.edu
affiliation: Woods Hole Oceanographic Institution
orcid: 'https://orcid.org/0000-0001-8339-2510'
license: MIT
GitHub Events
Total
Last Year
Dependencies
pyproject.toml
pypi
- dvc [ssh]
- geopy *
- gsw *
- jinja2 *
- matplotlib *
- numpy *
- pandas *
- pyyaml *
- scikit-learn *
- scipy *