Potential fields tutorial for AQGEO 2024 Meeting

Information

	Information
When	November 7, 2024
Slides (web)	ubcgif.github.io/2024-aqgeo-potential-fields-tutorial
Slides (PDF)	slides.pdf
Forward modelling notebook	notebooks/forward.ipynb
Inversion notebook	notebooks/inversion-sparse.ipynb

How to see slides

Slides are being hosted in GitHub Pages, you can see them by visiting ubcgif.github.io/2024-aqgeo-potential-fields-tutorial.

Alternatively, you can download this repository as a zip file, or clone it with git:

git clone https://github.com/ubcgif/2024-aqgeo-potential-fields-tutorial

And then serve them locally by opening the index.html file in your browser, or running a local web server with:

python -m http.server

or

livereload

These commands will provide you a URL you can open in your browser to see the slides.

How to run the notebooks

Install a Python distribution

In order to run the notebooks you need to install a Python distribution like Miniforge, Anaconda or Miniconda.

Follow the instructions provided by any of them to install it in your system.

Note

In the following steps we'll instruct you to run some commands. They are meant to be run in a terminal (for Mac and Linux users), or in an Anaconda Prompt or Miniforge Prompt if you are running Windows.

Download the repository

Then, download this repository as a zip file, or clone it with git:

git clone https://github.com/ubcgif/2024-aqgeo-potential-fields-tutorial

Create a new conda environment

In the downloaded folder you'll find an environment.yml file that you can use to create a conda environment by running:

conda env create -f environment.yml

Once the new environment is created and all the packages are installed, we need to activate the environment with:

conda activate aqgeo-2024-potential-fields

Run JupyterLab

After we activated the environment, let's start JupyterLab, where we can open, edit and execute the notebooks:

jupyterlab

I will automatically open a new tab in your browser with the Jupyter Lab, where you can navigate into the notebooks folder and open any of the notebooks you'll find there.

Important

It's important not to close the terminal (or Prompt) window while you are using Jupyter Lab. Closing the terminal will make Jupyter Lab to quit.

License

The slides and their content are provided under the CC-BY License.

The code under the notebooks folder is provided under the MIT License.