charleston {bnRep} | R Documentation |
charleston Bayesian Network
Description
Parameterization framework and quantification approach for integrated risk and resilience assessments.
Format
A discrete Bayesian network for risk and resilience assessment of climate change impacts within the Charleston Harbor Watershed of South Carolina (Region 3). The probabilities were given within the referenced paper. The vertices are:
- AbilityToEvacuate
(Zero, Low, Medium, High);
- ActiveHurricane
(No, Yes);
- DrowningMortality
(Zero, Low, Medium, High);
- EvacuationRequired
(Zero, Low, Medium, High);
- ExtremePrecipitation
(Zero, Low, Medium, High);
- ExtremePrecipitationNonHurricane
(Zero, Low, Medium, High);
- FloodExposure
(Zero, Low, Medium, High);
- FloodHazard
(Zero, Low, Medium, High);
- FloodPreparedness
(No, Yes);
- HurricaneCategory
(Zero, Low, Medium, High);
- NuisanceFloodExposure
(Zero, Low, Medium, High);
- NuisanceFloodFrequency
(Zero, Low, Medium, High);
- NuisanceFloodHazard
(Zero, Low, Medium, High);
- PersonalVehicle
(No, Yes);
- PhysicalFloodProtection
(No, Yes);
- PopulationLocation
(Zero, Low, Medium, High);
- RegionWithCoastline
(No, Yes);
- RiskToHumanHealth
(Zero, Low, Medium, High);
- RoadwayAccessibility
(Zero, Low, Medium, High);
- RoadwayLocation
(Zero, Low, Medium, High);
- SeaLevelRise
(Zero, Low, Medium, High);
- StormSurge
(Zero, Low, Medium, High);
- StormSurgeProtection
(No, Yes);
- TideLevelAboveHighTide
(Zero, Low, Medium, High);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Cains, M. G., & Henshel, D. (2021). Parameterization framework and quantification approach for integrated risk and resilience assessments. Integrated Environmental Assessment and Management, 17(1), 131-146.