bijanf/curvilinear_vs_regular

This repository contains a Jupyter Notebook that compares and analyzes curvilinear and regular grids.

Curvilinear vs Regular Grid Analysis

This repository contains a Jupyter Notebook that compares and analyzes curvilinear and regular grids. The analysis includes visualization and computational methods to understand the differences and applications of each grid type.

Table of Contents

• Introduction
• Installation
• Usage
• Contributing
• License

Introduction

Grid structures play a crucial role in various computational fields, especially in numerical simulations and geographical data analysis. This repository provides a detailed comparison between curvilinear and regular grids, showcasing their characteristics, advantages, and use cases.

Installation

To run the Jupyter Notebook provided in this repository, you need to set up your environment with the necessary dependencies. Follow the instructions below to set up your environment:

Prerequisites

• Python 3.x
• Jupyter Notebook
• Required Python packages (listed in requirements.txt)

Steps

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/curvilinear-vs-regular.git
   cd curvilinear-vs-regular

2. Create and activate a virtual environment (optional but recommended):

   python3 -m venv env
   source env/bin/activate

3. Install the required packages:

   pip install -r requirements.txt

4. Start Jupyter Notebook:

   jupyter notebook

5. Open the curvilinear_vs_regular.ipynb notebook in your browser and run the cells.

Usage

The Jupyter Notebook curvilinear_vs_regular.ipynb contains all the necessary code and explanations to perform the analysis. Simply follow the instructions within the notebook to understand the comparison between curvilinear and regular grids.

Contributing

Contributions are welcome! If you have any improvements or suggestions, please fork the repository and submit a pull request.

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature-branch).
6. Create a new Pull Request.

License

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