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ABSESpy: An agent-based modeling framework for social-ecological systems

ABSESpy: An agent-based modeling framework for social-ecological systems - Published in JOSS (2024)

https://github.com/absespy/absespy

Science Score: 87.0%

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

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 1 DOI reference(s) in JOSS metadata
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    Academic links in README
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 8 months ago · JSON representation

JOSS Publication

ABSESpy: An agent-based modeling framework for social-ecological systems
Published
April 10, 2024
DOI
Volume 9, Issue 96, Page 6298
Authors
Shuang Song ORCID
Faculty of Geographical Science, Beijing Normal University. 100875, Beijing, China.
Shuai Wang ORCID
Faculty of Geographical Science, Beijing Normal University. 100875, Beijing, China.
Chentai Jiao ORCID
Faculty of Geographical Science, Beijing Normal University. 100875, Beijing, China.
Elías José Mantilla Ibarra
USFQ Data Hub, Universidad San Francisco de Quito. Diego de Robles s/n y Pampite. Quito, Ecuador.
Editor
Chris Vernon ORCID
Tags
Agent-based model Social-ecological system Geography Social science
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 1,217 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 42
  • Total maintainers: 1
pypi.org: abses

ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.

  • Versions: 42
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 1,217 Last month
Rankings
Downloads: 8.9%
Dependent packages count: 10.1%
Average: 13.5%
Dependent repos count: 21.6%
Maintainers (1)
SongshGeo
Last synced: 8 months ago