This project show cases how to use Object Oriented Programming in MATLAB to do dynamic population models in a scalable and flexible framewor
Updated 29 Sep 2023

Dynamic Population Models with MATLAB Object Oriented Code

This code is what was presented for the Australian AgTech Webinar on 16th March 2021. It showcases how to stack together objects to create a world in which plants grow, herbivores eat and are eaten by carnivores. The key is that this object approach and the world framework is flexible and extensible. For example, the system can be adapted to model fishing fleets and fish populations, or harvest strategies for logging operations.

Screen shot of simulation


Open in MATLAB Online View oop-population-dynamics on File Exchange

To Run:

  1. Open the MATLAB® Project prj file and use the project shorcuts:
  2. "Grass Lives Forever" for a simple development version where the grass lives forever
  3. "Grass is Finite but Regrows" for the final version where the grass is consumed and takes time to regrow

MathWorks Products (https://www.mathworks.com)

This demonstration was developed in R2021a but should be quite backward compatible. The following are recommended products as simulations such as this are often placed into a much larger Monte Carlo framework.


The license for this population modelling code is available in the LICENSE.TXT file in this repository.

Community Support

MATLAB Central

Copyright © 2021 - 2023 The MathWorks, Inc.

Cite As

Peter Brady (2024). oop-population-dynamics (https://github.com/mathworks/oop-population-dynamics/releases/tag/0.7.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

See release notes for this release on GitHub: https://github.com/mathworks/oop-population-dynamics/releases/tag/0.7.0

See release notes for this release on GitHub: https://github.com/mathworks/oop-population-dynamics/releases/tag/0.6.1


To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.