In statistics, a realization is an observed value of a random variable (Gubner 2006). In mathematical geology, the most important realizations are those in the form of maps of spatially correlated regionalized variables.
Spatial description of random variables within complex domains and making certain decisions about those require complete knowledge of the attribute of interest at each point in space. However, it is virtually impossible to sample from every location within the domain to gain a complete spatial understanding of the random variables with certainty at different scales. Therefore, limited sampling leaves us with incomplete information, which is the source of uncertainty. Understanding the uncertainty and quantifying it are essential to minimize the risks of decision making. Geostatistical simulation techniques aim to quantify spatial uncertainty of random variables by numerically reproducing the reality, which we have limited knowledge of, in a discretized...
|Publication type||Book chapter|
|Publication Subtype||Book Chapter|
|Contributing office(s)||Eastern Energy Resources Science Center, Geology, Energy & Minerals Science Center|
|Larger Work Type||Book|
|Larger Work Subtype||Monograph|
|Larger Work Title||Encyclopedia of Mathematical Geosciences|
|Google Analytic Metrics||Metrics page|