A summary of past work and a description of new approaches to thinking about kriging, commonly used in the prediction of a random field based on observations at some set of locations in mining, hydrology, atmospheric sciences, and geography.
Michael L. Stein Livres
Focusing on the application of kriging in various fields such as mining, hydrology, and atmospheric sciences, this book explores the prediction of random fields based on observed data. It reviews historical methodologies while introducing innovative approaches to enhance understanding and implementation of kriging. By minimizing mean squared prediction error, the text aims to provide a comprehensive overview of both established and emerging techniques in the realm of spatial prediction.