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Authors
Advisor(s)
Abstract(s)
Spatial statistics deals with statistical methods in which spatial locations play an explicit role in the analysis of data.
Spatial data are often modeled as a realization of a Gaussian process or a function of a Gaussian process. However
there are events, such as rain, snow, storms, hurricanes, earthquakes, where extremes are of the main interest. Here
multivariate normal distributions are inappropriate for modeling tail behavior. The natural class of processes for
dealing with extremes is the max-stable processes. This work briefly reviews the approaches to the statistical
modeling of spatial extremes. Models for max-stable processes will be considered in an application to the annual
maxima of daily precipitation over the North of Portugal
Description
Spatial Statistics 2011
Keywords
geostatistics spatial extremes max-stable processes extreme precipitation modeling
Pedagogical Context
Citation
Procedia Environmental Sciences 7 (2011) 246–251