Simeon Oluwatosin
Understanding and Predicting Wildfire Severity Using Environmental Conditions
Simeon built predictive models that estimate wildfire severity from environmental conditions. Similar predictive work helps a business anticipate outcomes rather than react to them.
Predictive modellingData preparationEvaluation methods
The business question
Can environmental conditions be used to anticipate how severe a wildfire will be?
Project visuals
What the project demonstrated
- Prepared environmental datasets for predictive modelling.
- Built and evaluated models that estimate fire severity from conditions.
- Compared model approaches and reported on their reliability.
How similar work could help a business
The points below are illustrative applications of this kind of work — not results delivered for a client.
- Predictive modelling of this kind can support forecasting in any operation affected by external conditions.
- Knowing which factors drive an outcome helps a business focus spending on what actually moves the number.
- Honest evaluation of model reliability supports better judgement about when to trust a forecast.
Measures this kind of work tracks
Model accuracy measuresPredictive factors rankedScenarios evaluated