Visionneuse

Date_TXT

New-York : Springer, 2002.

Cote

511.8 LAN

Auteur

Christian Lantuejoul

Sujet

Modèles en géologie Géostatistique Géologie -- Simulation par ordinateur Géologie -- Modèles mathématiques Monte-Carlo, Méthode de Geological modeling Geology -- Statistical methods Monte Carlo method

Description :

Within the geosciences community the simulation of natural resources | is a challenging topic. The difficulties are threefold: Firstly, designing of appropriate models to take account plexity of the variables of interest and their interactions. This book discusses a wide range of spatial models, including random sets and functions, point processes and object populations. Secondly, constructing of algorithms which reproduce the variability inherent in the models. Thirdly, conditioning the simulations to the data, which can considerably reduce their variability. Besides the classical algorithm for Gaussian random functions, specific algorithms based on Markova iterations are presented for conditioning a wide range of spatial models (boolean model, voronoi tessellation, substitution random function etc.)