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 (8.8%) to scientific vocabulary

Keywords

google-earth-engine python r rstats tutorial-code
Last synced: 4 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
google-earth-engine python r rstats tutorial-code
Created almost 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

example workflow

biomath

Mathematical Bioscience Lab

Our lab is a multidisciplinary research team at the interface of mathematics and biology/life sciences. As part of the Department of Mathematical Sciences at Stellenbosch University in South Africa, we are a dynamic research group led by Prof Cang Hui, a SARChI Chair in Mathematical and Theoretical Physical Biosciences. Our interests lie in proposing models and theories for explaining emerging patterns in ecology. Ecology studies biodiversity in its variety and complexity. As ecological processes are highly complex and adaptive, we rely on the simplicity of mathematical language to build models and theoretical frameworks.

BioMath Documents

Welcome to the Mathematical Biosciences (BioMath) GitHub repository, a dedicated space for advancing the understanding and conservation of biodiversity through computational science. Here, we offer an array of R and Python workflows and coding tutorials designed specifically for modeling ecosystem complexity. Our resources are tailored to support researchers, conservationists, and students in their quest to unravel the intricate dynamics of ecosystems and to apply these insights towards effective biodiversity conservation strategies. Whether you are looking to enhance your analytical skills, develop sophisticated models, or explore innovative approaches to ecological research, our repository serves as a bridge between mathematical biosciences and practical conservation efforts. Dive into our content to discover tools and techniques that empower data-driven decision-making and foster a deeper connection with the natural world.

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

Owner

  • Login: BioMath-Lab
  • Kind: user
  • Company: Stellenbosch University

Sandra MacFadyen

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "MacFadyen"
  given-names: "Sandra"
  orcid: "https://orcid.org/0000-0002-5316-440X"
title: "basic_doc"
version: 1.0.0
url: "https://biomath-lab.github.io/basic_doc"

GitHub Events

Total
  • Delete event: 2
  • Push event: 74
  • Pull request event: 3
  • Fork event: 1
  • Create event: 2
Last Year
  • Delete event: 2
  • Push event: 74
  • Pull request event: 3
  • Fork event: 1
  • Create event: 2

Dependencies

.github/workflows/ci.yml actions
  • actions/cache v2 composite
  • actions/checkout v3 composite
  • actions/setup-python v4 composite