Statistical 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.
This book includes:
* Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.
* The most innovative developments in the different steps of the kriging process.
* An up-to-date account of strategies for dealing with data evolving in space and time.
* An accompanying website featuring R code and examples
This book includes:
* Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.
* The most innovative developments in the different steps of the kriging process.
* An up-to-date account of strategies for dealing with data evolving in space and time.
* An accompanying website featuring R code and examples
€77.99
关于作者
José-María Montero and Gema Fernández-Avilés, Department of Statistics, University of Castilla-La Mancha, SpainJorge Mateu, ¯ Department of Mathematics, University Jaume I of Castellon, Spain
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语言 英语 ● 格式 PDF ● 网页 400 ● ISBN 9781118762431 ● 文件大小 37.1 MB ● 出版者 John Wiley & Sons ● 发布时间 2015 ● 版 1 ● 下载 24 个月 ● 货币 EUR ● ID 4480305 ● 复制保护 Adobe DRM
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