Socio-Ecological Model

Introduction

This paper presents a Python implementation of a comprehensive Generalized Sustainability Socio-Ecological Model (GSSEM) that integrates economic, social, and climate change factors.

The original model was developed in MATLAB (the source code is available at Generalized Sustainability Socio-Ecological Model GSSEM). However, MATLAB's limitations in accessibility and the lack of modularity in the original code - the authors of the paper coded poorly, making the code difficult to read - prompted me to create this Python version.

This Python implementation emphasizes:

• Modularity: The code is well-structured with distinct modules, promoting readability and maintainability.
• Functionality Separation: Different functionalities are separated into dedicated functions, improving organization and clarity.

While the complete code might reside within a single file for simplicity, the modular structure ensures better organization and understanding.

Running the Model

Prerequisites:

• Python 3.x installed (https://www.python.org/downloads/)

• Needed library: numpy, matplotlib

Steps:

1. Clone the Repository:

   git clone https://github.com/Harito97/Socio-Ecological_Model.git

2. View Model Parameters (Optional):

   Before running the simulation, explore the available parameters that can be adjusted to customize the model's behavior:

   python main.py show_params

3. Explore Model Documentation (Optional):

   To understand the structure and functions of the model, generate documentation:

   python main.py show_docs

4. Run the Simulation:

   Execute the following command to initiate the simulation. The results will be stored in the results directory:

   python main.py run_simulation