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{ "item_title" : "Spatial and Spatio-Temporal Geostatistical Modeling and Kriging", "item_author" : [" José-María Montero", "Gema Fernández-Avilés", "Jorge Mateu "], "item_description" : "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 ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/11/841/318/1118413180_b.jpg", "price_data" : { "retail_price" : "114.95", "online_price" : "114.95", "our_price" : "114.95", "club_price" : "114.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Spatial and Spatio-Temporal Geostatistical Modeling and Kriging|José-María Montero

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

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Overview

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 item is Non-Returnable

Details

  • ISBN-13: 9781118413180
  • ISBN-10: 1118413180
  • Publisher: Wiley
  • Publish Date: August 2015
  • Dimensions: 9.1 x 6.1 x 0.9 inches
  • Shipping Weight: 1.45 pounds
  • Page Count: 400

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