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This is a python-based Mark Recapture Bias Estimator developed and released for the Annis Water Research Institute by Christian Yap. It is open-sourced.

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GPL-3.0, Unknown licenses found

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ChristianYap/AWRI-Initial

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AWRI Fisheries Abundance Software Initial

Binder

Simulation for mark and recapture method used in ecology to estimate population size.

Current Functionality

  • Choose sampling size.
  • Add small variations in sampling size to simulate real sampling.
  • Choose the number of samplings.

To-do:

  • Fit the needs of research
  • Find a way to use ndarray to enhance the speed.
  • Improve population def and marking.
  • Add tools to visualize the effect of variation of different parameters.
  • Develop GUI or a web-based UI.

How to use?

  1. Online method:

    1. Click here to launch master branch on Binder. (Note: it may take some time for the branch to load, so be patient.)
    2. Click on MnR.ipynb to launch the notebook.
  2. Standalone GUI tool:

    1. Download MnRGUI.py
    2. Go to the the directory where you downloaded the file.
    3. Run MnRGUI.py with python3 (For linux users: run python3 MnRGUI.py)
  3. Offline notebook:
    Download the MnR.ipynb file and open it with Jupyter Notebook.

About

This is a python-based Mark Recapture Bias Estimator developed and released for the Annis Water Research Institute by Christian Yap. It is open-sourced.

Resources

License

GPL-3.0, Unknown licenses found

Licenses found

GPL-3.0
LICENSE
Unknown
license.txt

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