Create a Tutorial Notebook to leverage DISPEL with Mobilize-D YAR Data

[gcosne]

Overview

This issue aims to develop a comprehensive, easy-to-follow tutorial notebook that effectively demonstrates how to leverage DISPEL with Mobilize-D data. This tutorial aims to provide new users with a hands-on approach to learning the library's functionalities, making it easier to integrate into their projects.

Objectives

1. Data Introduction: Briefly introduce Mobilize-D data, its significance, and typical use cases.
2. Environment Setup: Guide on setting up the necessary environment, including library installation.
3. Basic Operations: Cover basic library functions, showcasing simple data manipulations and operations.
4. Advanced Features: Dive into more complex features, providing real-world examples deriving SDMs from Mobilize-D data.
5. Best Practices: Offer guidance on best practices for transforming datasets and including technical and behavioural deviations.
6. Interactive Examples: Include interactive examples for users to experiment with, enhancing learning engagement.

Desired Outcomes

• A Jupyter notebook that is well-documented, with clear explanations and code comments.
• The tutorial should cater to beginners and intermediate users, gradually building in complexity.
• Users should feel confident using the library with Mobilize-D data for their specific needs after completion.