eco-analytic
Science Score: 44.0%
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
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: cjones-net
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Size: 117 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
eco-analytic
This code is used to generate results from the paper "Novel analytic methods for predicting extinctions in ecological networks" by C Jones, D Zurell and K Wiesner.
The module "ecomodule" includes all functions necessary for replicating our results. The file "ecologicalrobustnessexample" implements various functions in order to predict species survival on ecological networks for several extinction scenarios, and plots results similar to figures in our paper. The folder "largepoll_nets" contains several data files for real world plant pollinator interaction networks.
numpy, scipy, networkx and matplotlib packages are required. This code was originally written and run in Python 3.9.
Owner
- Name: Chris Jones
- Login: cjones-net
- Kind: user
- Repositories: 1
- Profile: https://github.com/cjones-net
Citation (CITATION.cff)
cff-version: 1.2.0
title: eco-analytic
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Chris
family-names: Jones
affiliation: University of Bristol
orcid: 'https://orcid.org/0000-0003-4698-5573'
repository-code: 'https://github.com/cj14373/eco-analytic'
abstract: >-
Code used for analytically predicting extinctions in
ecological networks.
license: GPL-3.0