Latin Hypercube Sampling of Gaussian random field for Sobol global sensitivity analysis of models with spatial inputs and scalar output

Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences

Volumn , Issue , 2010, Pages 81-84

  Saint Geours, Nathalie ^a   Bailly, Jean Stéphane ^a   Grelot, Frédéric ^b   Lavergne, Christian ^c  

^a UMR TETIS   (France)

^b UMR G EAU   (France)

^c UNIVERSITÉ PAUL VALÉRY   (France)

Author keywords

Gaussian random field; Global sensitivity analysis; Latin Hypercube Sampling; Unconditionnal simulation

Indexed keywords

ENVIRONMENTAL ENGINEERING; GAUSSIAN DISTRIBUTION; GEOMETRY; NATURAL RESOURCES;

GAUSSIAN RANDOM FIELDS; GEOSTATISTICAL SIMULATION; GLOBAL SENSITIVITY ANALYSIS; LATIN HYPERCUBE SAMPLING; SENSITIVITY INDICES; SIMPLE RANDOM SAMPLING; SOBOL' SENSITIVITY INDEX; UNCONDITIONNAL SIMULATION;

SENSITIVITY ANALYSIS;

EID: 84975782147     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Chilès, J. and Delfiner, P. (1999). Geostatistics: modeling spatial uncertainty. New York: John Wiley.
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3. Helton, J.C. and Davis, F.J. (2006). Sampling-based methods for uncertainty and sensitivity analysis. Multimedia Environmental Models. 32(2), 135-154.
4. Lilburne, L. and Tarantola, S. (2009). Sensitivity analysis of spatial models. Int. Journal of Geographical Information Science. 23(2), 151-168.
5. Pebesma, E.J. and Heuvelink, G.B.M. (1999). Latin hypercube sampling of gaussian random fields. Technometrics. 41(4), 303-311.
6. Saltelli, A. et al. (2008). Global sensitivity analysis: The primer. Chichester: John Wiley.