Fire Occurrence Prediction
- Dominant language
- Python
- Stars
- 65
- Forks
- 11
- Avg merge
- 21h 25m
- Merged PRs (30d)
- 70
Description
**As a** *ZWCO* **I want** *to see the fire occurrence predictions for both lightning and human starts for each day* **So That** *I can* understand why the prep level was calculated the way it was.
**Additional Context**
- where should this information come from? **there may be APIs - Vivid discussion**
- how or who predicts lightning starts? **20 year history // WF1 weather schema DB**
- how or who predicts human cause starts? **20 year history // Fire Incidents or Dispatch DB**
- is there a default value? **ideally a 20 year historical average for a Wx on the day of interest**
- how does the application account for long weekends, or events which may increase human related starts? do we even bother? **human input (editable field) to adjust for context**
- how does fire starts affect calculated prep level? or does it at all? **critical: prep is a function of predicted fire starts and HFI**
**Acceptance Criteria**
- [ ] Given (Context), When (action carried out), Then (expected outcome)
- [ ] Given (Context), When (action carried out), Then (expected outcome)
Contributor guide
Assessment
This issue has not been assessed yet.