Overview
This manual is a live document which is automatically updated as changes are made to underlying model code and documentation.
The fireSense model implements data-driven wildfire ignition, escape, and spread sub-models which are sensitive to climate and vegetation feedbacks (Marchal et al. 2017b, a; 2019). There are two stages to the modelling workflow: fitting the corresponding statistical models for each process, and subsequently using these models for prediction.
0.1 Model components
0.1.1 Modules
- https://github.com/PredictiveEcology/fireSense
- https://github.com/PredictiveEcology/fireSense_dataPrepFit
- https://github.com/PredictiveEcology/fireSense_dataPrepPredict
- https://github.com/PredictiveEcology/fireSense_EscapeFit
- https://github.com/PredictiveEcology/fireSense_EscapePredict
- https://github.com/PredictiveEcology/fireSense_IgnitionFit
- https://github.com/PredictiveEcology/fireSense_IgnitionPredict
- https://github.com/PredictiveEcology/fireSense_SpreadFit
- https://github.com/PredictiveEcology/fireSense_SpreadPredict