{"product_id":"spatial-and-spatio-temporal-geostatistical-modeling-and-kriging-hardcover","title":"Spatial and Spatio-Temporal Geostatistical Modeling and Kriging - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJosé-María Montero\u003c\/b\u003e (Author), \u003cb\u003eGema Fernández-Avilés\u003c\/b\u003e (Author), \u003cb\u003eJorge Mateu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStatistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.\u003c\/p\u003e \u003cp\u003eThis book includes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eMethods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.\u003c\/li\u003e \u003cli\u003eThe most innovative developments in the different steps of the kriging process.\u003c\/li\u003e \u003cli\u003eAn up-to-date account of strategies for dealing with data evolving in space and time.\u003c\/li\u003e \u003cli\u003eAn accompanying website featuring R code and examples\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA unified approach to modeling spatial and spatio-temporal data\u003c\/b\u003e\u003cb\u003e together with significant developments in statistical methodology with applications in R\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis book provides a comprehensive treatment of spatial and spatio-temporal geostatistics in a unified and integrated way. Motivated by the high demand for statistical analysis of data that take spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to provide the necessary material needed to deal with spatial and spatio-temporal problems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003eSpatial and Spatio-Temporal Geostatistical Modeling and Kriging\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides a complete range of spatio-temporal covariance functions, as well as discussing the ways of constructing them.\u003c\/li\u003e \u003cli\u003eExplores methods for selecting valid covariance functions from the empirical counterpart that overcomes the existing limitations of more traditional methods.\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eIncludes the most innovative developments for the different steps of the kriging process. \u003c\/li\u003e \u003cli\u003ePresents strategies for dealing with data evolving in space and time.\u003c\/li\u003e \u003cli\u003eIs supported by a website featuring R code and examples.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eStatisticians, researchers, and data analysts working with spatial and space-time data will benefit from this book as well as graduate students with a background in basic statistics following courses in engineering, quantitative ecology or environmental sciences. This text will also prove to be a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJosé-María \u003c\/b\u003e\u003cb\u003eMontero \u003c\/b\u003eand\u003cb\u003e Gema Fernández-Avilés, \u003c\/b\u003eDepartment of Statistics, University of Castilla-La Mancha, Spain\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJorge Mateu, \u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003eDepartment of Mathematics, University Jaume I of Castellon, Spain\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 400\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 17, 2015\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47336707031289,"sku":"9781118413180","price":165.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Y1BjSEY5NE8wbDhrWU9kNUZnNjZsZz09.webp?v=1769670854","url":"https:\/\/bookscloud.io\/products\/spatial-and-spatio-temporal-geostatistical-modeling-and-kriging-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}