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bioLEC

bioLEC: A Python package to measure Landscape Elevational Connectivity - Published in JOSS (2019)

https://github.com/geodels/biolec

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

Landscape Elevational Connectivity package https://biolec.readthedocs.io/

Basic Info
  • Host: GitHub
  • Owner: Geodels
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 19.7 MB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 3
  • Open Issues: 0
  • Releases: 1
Archived
Created almost 7 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.md

src/README.md

Owner

  • Name: GEOdels
  • Login: Geodels
  • Kind: organization
  • Email: tristan.salles@sydney.edu.au
  • Location: School of Geosciences - University of Sydney

Global Scale Models of Earth Surface Evolution

JOSS Publication

bioLEC: A Python package to measure Landscape Elevational Connectivity
Published
July 25, 2019
DOI
Volume 4, Issue 39, Page 1530
Authors
Tristan Salles ORCID
School of Geosciences, The University of Sydney, Australia
Patrice Rey ORCID
School of Geosciences, The University of Sydney, Australia
Editor
Kristen Thyng ORCID
Tags
landscape evolution geomorphology hydrology surface processes stratigraphy
View PDF Review Thread Software Archive

GitHub Events

Total
Last Year

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 121
  • Total Committers: 3
  • Avg Commits per committer: 40.333
  • Development Distribution Score (DDS): 0.066
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Tristan t****s@s****u 113
Katherine Barnhart k****t@g****m 6
Kyle Niemeyer k****r@g****m 2
Committer Domains (Top 20 + Academic)
sydney.edu.au: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 8
  • Total pull requests: 3
  • Average time to close issues: 4 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.33
  • Merged pull requests: 3
  • 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
View more stats
Top Authors
Issue Authors
  • kbarnhart (8)
Pull Request Authors
  • kyleniemeyer (2)
  • kbarnhart (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 30 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
pypi.org: biolec

A Python interface to compute biodiversity metric based on landscape elevational connectivity.

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 30 Last month
Rankings
Dependent packages count: 10.1%
Forks count: 15.3%
Stargazers count: 25.0%
Average: 37.3%
Dependent repos count: 67.3%
Downloads: 68.8%
Maintainers (1)
tsalles
Last synced: 6 months ago

Dependencies

src/docs/requirements.txt pypi
  • mock *
  • numpy *
  • pandas *
  • pyevtk *
  • scikit-image *
  • sphinx_rtd_theme *
  • sphinxcontrib-inlinesyntaxhighlight *
  • sphinxcontrib-napoleon *
  • sphinxemoji *
src/requirements.txt pypi
  • matplotlib >=3.0
  • mpi4py >=3.0.0
  • nose >=1.3
  • numpy >=1.15.0
  • pandas >=0.24
  • pyevtk >=1.1.1
  • rasterio >=1.0.23
  • scikit-image >=0.15
  • scipy >=1.2
  • setuptools >=38.4.0
  • six >=1.11.0
src/setup.py pypi
  • matplotlib >=3.0
  • mpi4py >=3.0.0
  • nose >=1.3
  • numpy >=1.15.0
  • pandas >=0.24
  • pyevtk >=1.1.1
  • rasterio >=1.0.23
  • scikit-image >=0.15
  • scipy >=1.2
  • setuptools >=38.4.0
  • six >=1.11.0