CMPS 263 - Final Project

The Effects of California Wildfires, 2000 - 2015

To install Python dependencies: pip install -r requirements.txt

Visualizations

Jupyter Notebooks

• CA_Wildfire_Acres - Discrete heatmap of number of acres burned per year and month.
• CA_Wildfire_Causes - Bar chart of number of wildfires by cause.
• CA_Wildfire_Counts - Discrete heatmap of number of fires per year and month.
• CA_Wildfire_Fatalities - Bar chart of number of wildfire fatalities by year.
• CA_Wildfire_Structures - Bar chart of number of structures damaged/destroyed by year.

Poster

• poster.svg - SVG version of the visualization poster.
• poster.pdf - Final PDF version of the visualization poster.

Data Sources

• Fire
  • Cal Fire Yearly Fire Lists (2000-2015)

Data Processing

Fire data gathered from Cal Fire Yearly Fire Lists (2000-2015). Download the pdfs called YYYY Large Fires List for each year. Convert the downloaded pdf to txt via pdftotext -layout <file name>.pdf <file name>.txt. Then manually edit the txt file in an editor to remove page headers/footers. Next, run python remove-spaces.py -f <file name>.txt to generate a csv. Finally, edit the csv file to fix any column alignment issues from missing data.

Data Processing Scripts

• remove-spaces.py
  • For use with the Yearly Fire Lists. Will take the file path to a txt as an argument. Parses the txt by removing any commas (usually number formatting commas) and replaces multiple spaces with a comma to separate attributes. Then writes to a csv.

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