Geostatistics of Dependent and Asymptotically Independent Extremes

Spatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infrastructure. Although classical geostatistics is largely based on Gaussian processes and distributions, these are not appropriate for extremes, for which max-stable and related processes provide more suitable models. This paper provides a brief overview of current work on the statistics of spatial extremes, with an emphasis on the consequences of the assumption of max-stability. Applications to winter minimum temperatures and daily rainfall are described.


Publié dans:
Mathematical Geosciences, 45, 5, 511-529
Année
2013
Publisher:
Heidelberg, Springer Heidelberg
ISSN:
1874-8961
Mots-clefs:
Laboratoires:




 Notice créée le 2013-10-01, modifiée le 2019-04-16

Publisher's version:
Télécharger le document
PDF

Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)