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.
CITATION STYLE
Msengwa, A. S. (2021). Geostatistics for Environmental Scientists. JOURNAL OF THE GEOGRAPHICAL ASSOCIATION OF TANZANIA, 41(1). https://doi.org/10.56279/jgat.v41i1.13
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