Spatio-temporal modelling of hydro-meteorological derived risk using a Bayesian approach: a case study in Venezuela

Keyphrases

• Vulnerability 100%
• Bayesian Approach 100%
• Spatio-temporal Modeling 100%
• Venezuela 100%
• Hydrometeorology 100%
• Hazard Events 66%
• Proposed Methodology 33%
• Parameter Dependence 33%
• Bayesian Framework 33%
• Politicians 33%
• Spatial Domain 33%
• Main Components 33%
• High Risk 33%
• Low Risk 33%
• Temporal Support 33%
• Uncertainty Measure 33%
• Spatial Support 33%
• Total Population 33%
• Risk Estimation 33%
• Rainfall 33%
• Domain of Interest 33%
• Census Data 33%
• Informed Decision-making 33%
• Point-based 33%
• Decision Maker 33%
• Unified Treatment 33%
• Risk Exposure 33%
• Climatic Variables 33%
• Hazard Risk 33%
• Exposed Population 33%
• Extreme Rainfall Events 33%
• Rainfall Data 33%
• Hazard Vulnerability 33%
• Risk Map 33%
• Impact on Society 33%
• Population Economics 33%
• Risk Vulnerability 33%
• Risk Areas 33%
• Kriging Model 33%
• Vargas 33%
• Hazard Exposure 33%
• Spatio-temporal Kriging 33%
• Temporal Risk 33%
• Expected Economic Loss 33%
• Spatiotemporal Risk 33%
• Zero-inflated Distribution 33%
• Bayesian Paradigm 33%
• Extreme Environmental Events 33%

Earth and Planetary Sciences

• Venezuela 100%
• Kriging 50%
• Environmental Event 50%