This project aims to find where decision makers should place fire fuelbreaks. A basic strategy utilizing equal graph partitioning and quantum computing is used to determine the placements with speed and efficacy
This project uses conda environments to manage dependencies. The environment can be created using the following command:
conda env create --name fire_separation --file=environment_fire_separation.yml
You may need to remove the output on certain notebooks to make them small enough to commit to do this, use the following command:
jupyter nbconvert --clear-output --inplace <<notbook name>>
If you have any questions about either running this project or the project in general, feel free to contact Sam Dent at:
Samuel.C.Dent@erdc.dren.mil
├── README.md <- The top-level README for developers using this project (this file).
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├── data* <- Currently, all data is saved, intermediate data therefore, no subdirectories have been added
│ ├── intermediate <- Intermediate saved data to be passed between notebooks.
│ └── results <- Data used in the final results of the project.
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├── notebooks <- Jupyter notebooks
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├── figures* <- Generated analysis as HTML, PDF, LaTeX, etc.
* Asterisk indicates a directory's contents is gitignored.