Spatial modeling of drought events using max-stable processes-Reference-Cited by-同舟云学术

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Spatial modeling of drought events using max-stable processes

Published:2017-03-23 Issue:1 Volume:32 Page:63-81
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Oesting Marco,Stein Alfred

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-017-1406-z/fulltext.html

Reference63 articles.

1. Bajgiran PR, Darvishsefat AA, Khalili A, Makhdoum MF (2008) Using AVHRR-based vegetation indices for drought monitoring in the northwest of Iran. J Arid Environ 72(6):1086–1096

2. Bevilacqua M, Gaetan C, Mateu J, Porcu E (2012) Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach. J Am Stat Assoc 107(497):268–280

3. Blanchet J, Davison AC (2011) Spatial modeling of extreme snow depth. Ann Appl Stat 5(3):1699–1725

4. Brown BM, Resnick SI (1977) Extreme values of independent stochastic processes. J Appl Probab 14(4):732–739

5. Chilès JP, Delfiner P (2012) Geostatistics. Modeling spatial uncertainty, 2nd edn. Wiley, Hoboken, NJ

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