Modélisation et statistique spatiales = Spatial modeling and statistics
Publication year: 2008
ISBN: 978-3-540-79226-0
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Spatial statistics are undergoing significant development due to their use in many fields: earth sciences, environment and climatology, epidemiology, econometrics, image analysis, etc. This book presents the main spatial models used as well as their statistics for the three types of data: geostatistics (observation on a continuous domain), data on a discrete network, point data. The objective is to present in a concise but mathematically complete way the most classical models (second order and variogram; software model and Gibbs-Markov field; point processes) as well as their simulation by MCMC algorithm. Then comes the presentation of statistical tools useful for their study.
Subject: Mathematics and Statistics, champ aléatoire, champ de Markov, géostatistique, modélisation et statistique spatiale, processus ponctuel, statistics, random field, Markov field, geostatistics, spatial modeling and statistics, point process, Statistical Theory and Methods, Probability Theory and Stochastic, Processes
