Program to prepare F3 data for use in the CEC DSS application.
A run of this program takes a single raw pixel input CSV file and creates a single processed output CSV file. The processed file groups pixels into clusters and contains additional calculated information including cluster yarding slope and distance as well as per-treatment details.
The Wiki contains information on running the dataprep on the UC Davis Farm computing cluster: https://github.com/ucdavis/cec-dataprep/wiki. The same steps will work for any parallelizable computing cluster running the Slurm workload manager.
- Download the data folder from box at the following link: https://ucdavis.box.com/s/bmyts3ps4e04yxs7uw7jla8bltq4rezp
- Place it in the project root and rename it "data"
- When running 2025 data, leave the file names as they are. When running 2030 data, change line 25 in index.ts to './data/complete_GLRBT_2030.csv' instead of './data/complete_GLRBT_2025.csv'
DotEnv is supported, or any other standard method of setting environmental variables will work
| Variable | Purpose | Default |
|---|---|---|
| PIXEL_FILE | The input raw pixel file | none |
| TREATED_OUT_FILE | Where to create the output file | none |
| OSRM_FILE | Location of the main OSRM file | ./data/california-latest.osrm |
| HGT_FILES | Elevation info is automatically downloaded here | ./data |
Make sure you are using node v16
npm install
npm run dev