Interpolation of Spatial Data

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.