{"product_id":"spatial-statistics-and-modeling-9780387922560","title":"Spatial Statistics and Modeling","description":"\u003cp\u003e • Author(s): Carlo Gaetan\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eSpatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.\u003c\/p\u003e \u003cp\u003e The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and second-order statistics, maximum likelihood methods, approximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation).\u003cbr\u003eA large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematically sound reference.\u003c\/p\u003e \u003cp\u003eThis book is the English translation of Modélisation et Statistique Spatiales published by Springer in the series Mathématiques \u0026amp; Applications, a series established by Société de Mathématiques Appliquées et Industrielles (SMAI).\u003c\/p\u003e \u003cp\u003eCarlo Gaetan is Associate Professor of Statistics in the Department of Statistics at the Ca' Foscari University of Venice. \u003c\/p\u003e \u003cp\u003eXavier Guyon is Professor Emeritus at the University of Paris 1 Panthéon-Sorbonne. He is author of a Springer monograph on random fields.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45274950926487,"sku":"9780387922560","price":12371.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780387922560.webp?v=1769281424","url":"https:\/\/atlanticbooks.com\/products\/spatial-statistics-and-modeling-9780387922560","provider":"Atlantic Books","version":"1.0","type":"link"}