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Spatial and Spatio–Temporal Geostatistical Modeling and Kriging: Wiley Series in Probability and Statistics

Autor JM Montero
en Limba Engleză Hardback – 20 aug 2015
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
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Specificații

ISBN-13: 9781118413180
ISBN-10: 1118413180
Pagini: 400
Dimensiuni: 167 x 234 x 29 mm
Greutate: 0.66 kg
Editura: Wiley
Seria Wiley Series in Probability and Statistics

Locul publicării:Chichester, United Kingdom

Public țintă

Statisticians, postgraduate students and practitioners involved in a wide range of scientific fields including Mining, Soil Science, Hydrology, Geology, Hydrogeology, Oceanography, Climate and Environment and Atmospheric Science Forestry.
Environmental scientists, economists and social science researchers

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Notă biografică

José-María Montero and Gema Fernández-Avilés, Department of Statistics, University of Castilla-La Mancha, Spain Jorge Mateu, Department of Mathematics, University Jaume I of Castellon, Spain

Descriere

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.