Abstract

There are many theories that are seemly worth linking the environment and statistical methods through a space or space-time sampling framework. A prominent theory of spatial random processes is fully explored in Geostatistics for Environmental Scientists, a book that was first published in 2001, and later revised in a second edition in 2007. The book grasps the definition of ‘Geostatistics’ from a farmer’s imaginary story, to connect it to a soil/environment survey. The soil survey is very important for the authors’ methodology. It is characterized by sampled locations to determine how much is known and how soil/environmental surveys can apply Geostatistics methods to generate estimates and predict values for unknown locations through variogram and covariance.

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