Correlation-based hierarchical clustering methods for time series typically are based on a
suitable dissimilarity matrix derived from pairwise measures of association. Here, this …

Rainfall prediction is an essential study as a guideline for water resources management to
manage disasters. Still, earlier research cares much about temporal information, only …

The modeling of dependence between maxima is an important subject in several
applications in risk analysis. To this aim, the extreme value copula function, characterized …

The use of satellite precipitation products (SPP) allows for precipitation information to be
collected nearly globally, but questions remain regarding their ability to reproduce extreme …

We introduce a clustering method for time series based on tail dependence. Such a method
also considers spatial constraints by means of a suitable procedure merging temporal and …

In a wide range of applications, from climate science to finance, extreme events with a non-
negligible probability can occur, leading to disastrous consequences. Extremes in climatic …

The specification of environmental extrema is a persisting problem, especially in soil with
spatial heterogeneity owing to anthropogenic activities. Using a geographic detector, a …