The Generalized Extreme Value (GEV) is a distribution that can describe extreme values. Modeling for extreme values is very useful in estimating extreme events, such as extreme rainfall that can cause flooding. This study aims to make extreme rainfall models through the spatial effect that succeed in forming special zones. In addition, it is also studied on time series patterns that can be explained through extremogram. The effect of spatial and time series are then modeled spatiotemporally by the Bayes hierarchy method through the concept of Integrated Laplace Approximation (INLA). The application of models for extreme values with GEV is expected to be a reference for policymakers, especially in the context of disaster mitigation due to extreme events.
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