Snow Birds

Welcome to the repository, an integral part of ESIIL and Earth Lab's climate change response Codefest. This repository is the central hub for our team, encompassing our project overview, team member information, codebase, and more...

Our Project: Demographic and Economic Costs of Climate Change in an Arid Ecosystem

Hypothesis: Climate change will result in demographic changes with commensurate costs.

We hypothesize that climate change in arid regions such as Arizona will result in population shifts and increased costs related to agriculture, water supply, energy use, and other resources. Evaluating historical trends in temperature, water use, agricultural production, energy use, land values, and population distribution may be informative with respect to future changes related to climate change.

Documentation

• Access detailed documentation on our GitHub Pages site.

Group Members

• Keiko Nomura
• Foster Sawyer
• Scott Ortman
• Robyn Marowitz
• Min Gon Chung
• Jason Tinant

Resources

- Arizona water data by county: https://wrrc.arizona.edu/resources/arizona-water-factsheets

Code Repository Structure

• Data Processing: Scripts for cleaning, merging, and managing datasets.
• Analysis Code: Scripts for data analysis, statistical modeling, etc.
• Visualization: Code for creating figures, charts, and interactive visualizations.

Meeting Notes and Agendas

• Regular updates to keep all group members informed and engaged with the project's progress and direction.

Contributing to This Repository

• Contributions from all group members are welcome.
• Please adhere to these guidelines:
  • Ensure commits have clear and concise messages.
  • Document major changes in the meeting notes.
  • Review and merge changes through pull requests for oversight.

Getting Help

• If you encounter any issues or have questions, please refer to the ESIIL Support Page or contact the repository maintainers directly.

Customize Your Repository

• Edit This Readme: Update with information specific to your project.
• Update Group Member Bios: Add detailed information about each group member's expertise and role.
• Organize Your Code: Use logical structure and clear naming conventions.
• Document Your Data: Include a data directory with README files for datasets.
• Outline Your Methods: Create a METHODS.md file for methodologies and tools.
• Set Up Project Management: Use 'Issues' and 'Projects' for task tracking.
• Add a License: Include an appropriate open-source license.
• Create Contribution Guidelines: Establish a CONTRIBUTING.md file.
• Review and Merge Workflow: Document your process for reviewing and merging changes.
• Establish Communication Channels: Set up channels like Slack or Discord for discussions.

Remember, the goal is to make your repository clear, accessible, and useful for all current and future researchers. Happy researching!